{"id":228,"date":"2024-08-13T13:40:07","date_gmt":"2024-08-13T13:40:07","guid":{"rendered":""},"modified":"2024-08-13T13:40:07","modified_gmt":"2024-08-13T13:40:07","slug":"bootstrap-in-machine-learning","status":"publish","type":"post","link":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/","title":{"rendered":"Bootstrap in Machine Learning (ML) &#8211; A Step-by-Step Guide"},"content":{"rendered":"<div style=\"background:#edf6ff;border: 1px solid #aaa;border-radius: 4px;box-shadow: 0 1px 1px rgb(0 0 0 \/ 5%);display:table;margin-bottom:1em;padding: 10px;position:relative;width:auto;\">\n<div class=\"btnSHown\" style=\"color:blue;font-size:18px;font-weight:600;cursor:pointer;\n\"><button class=\"btn btn-primary ml-1 mr-2 px-1 py-0\"><img decoding=\"async\" src=\"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg\" style=\"width: 33px;\n    filter: invert(1);\" \/><\/button><span id=\"tbleShowhdd\">Table of Contents [show]<\/span><\/div>\n<nav>\n<ul>\n<li><a class=\"blog-heading_link-c\" href=\"#explain-bootstrap-in-machin-learning\" title=\"1.Explain Bootstrap in Machine Learning\">1. Explain Bootstrap in Machine Learning<\/a><\/li>\n<li><a class=\"blog-heading_link-c\" href=\"#how-to-implement-bootstrap-in-ml\" title=\"2.How to Implement Bootstrap in ML?\">2. How to Implement Bootstrap in ML?<\/a><\/li>\n<li><a class=\"blog-heading_link-c\" href=\"#advantages-of-bootstrapping-machine-learning\" title=\"3.Advantages of Bootstrapping Machine Learning\">3. Advantages of Bootstrapping Machine Learning<\/a><\/li>\n<li><a class=\"blog-heading_link-c\" href=\"#configuration-of-extension-bootstrap-visual-studio-code\" title=\"4.Configuration of Extension Bootstrap Visual Studio Code\">4. Configuration of Extension Bootstrap Visual Studio Code<\/a><\/li>\n<\/ul>\n<ul id=\"show-hide-table-cn\" style=\"display: none;\">\n<li><a class=\"blog-heading_link-c\" href=\"#bootstrapping-machine-learning-example\" title=\"5.Bootstrapping Machine Learning Example\">5. Bootstrapping Machine Learning Example<\/a><\/li>\n<li><a class=\"blog-heading_link-c\" href=\"#concluding-thoughts\" title=\"6.Concluding Thoughts\">6. Concluding Thoughts<\/a><\/li>\n<\/ul>\n<\/nav>\n<\/div>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Have you ever felt stuck trying to win a data competition? You&#39;ve tried all the tricks, but your score won&#39;t improve. That&#39;s frustrating! When you&#39;re new to data science, you often stick to what you know &ndash; like simple math tricks for data. But then we discovered a bootstrapping method that helped me quickly rise to the top of the leaderboard. Here, we will elaborate on the bootstrap in machine learning.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<h2 id=\"explain-bootstrap-in-machin-learning\" style=\"line-height:1.38; margin-top:24px; margin-bottom:8px\">\n<span style=\"font-size:16pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Explain Bootstrap in Machine Learning<\/span><\/span><\/span><\/span><\/span><\/span><\/h2>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">You&#39;ve probably heard the term &quot;bootstrapping&quot; used to describe a business that starts with little money. However, this method involves repeatedly taking a sample with replacement from a data set to estimate a population parameter. It is a robust approach used to determine various parameters of a population.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">People used to say it sarcastically to describe something ridiculous. So while it&#39;s used a lot in business now, it originally meant something completely impossible. In addition, a bootstrap plot is a picture that shows how different your answer (the average height) could be if you measured different groups of students. It helps you understand how confident you can be about your answer.&nbsp;<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">The Bootstrap Method in Machine Learning takes multiple guesses about the average height by measuring different groups of students again and again. Each time you measure a new group, you put everyone back in the pool. This way, you can get a better idea of what the real average height might be. Once you have all these guesses, you can look at them together to see how widespread they are. As a result, this helps you understand how confident you can be about your original guess.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<h3 id=\"how-to-implement-bootstrap-in-ml\" style=\"line-height:1.38; margin-top:21px; margin-bottom:5px\">\n<span style=\"font-size:13.999999999999998pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#434343\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">How to Implement Bootstrap in ML?<\/span><\/span><\/span><\/span><\/span><\/span><\/h3>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">You must follow the following instructions as mentioned below very carefully.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">1. Import Necessary Library<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">import numpy as np:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> This line imports the NumPy library, which is essential for numerical operations in Python.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">2. Create a Population<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">np.random.normal(loc=500, size=10000):<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> It creates a normally distributed population of 10,000 numbers with a mean of 500.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">3. Bootstrap Sampling and Calculating Means<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">for i in range(40):<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> This loop repeats the following steps 40 times:<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">sample = np.random.choice(population, 5, replace=True):<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> This randomly selects 5 numbers from the population with replacement. Imagine picking 5 random students from the school.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">sample_mean.append(np.mean(sample)):<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> Calculates the average height of the selected students and adds it to a list of sample means.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">4. Calculating the Average of Sample Means<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">np.mean(sample_mean):<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> This computes the average of all the sample means calculated in the previous step.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">The output is close to the population mean (500), which demonstrates the effectiveness of bootstrapping.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Why is this happening?<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Law of Large Numbers: <\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">As we increase the number of samples, the average of the sample means tends to converge to the population mean.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Replacement:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> By sampling with replacement, we allow the possibility of selecting the same data point multiple times in a sample. However, this helps to capture the variability in the population.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Some Necessary Points&nbsp;<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Bootstrapping is a powerful technique for estimating population parameters when the underlying distribution is unknown.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">It involves creating multiple samples with replacements from the original data and calculating the statistic of interest for each sample.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">The distribution of these statistics can provide valuable information about the estimated uncertainty.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">In short, bootstrapping in Machine learning helps us make better inferences about a population by repeatedly sampling from our data and analyzing the results.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<h3 id=\"advantages-of-bootstrapping-machine-learning\" style=\"line-height:1.38; margin-top:21px; margin-bottom:5px\">\n<span style=\"font-size:13.999999999999998pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#434343\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Advantages of Bootstrapping Machine Learning<\/span><\/span><\/span><\/span><\/span><\/span><\/h3>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Here, we will provide some benefits of using the bootstrap in <\/span><\/span><\/span><\/span><\/span><\/span><a href=\"https:\/\/www.upskillcampus.com\/blog\/machine-learning\" style=\"text-decoration:none\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#1155cc\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:underline\"><span style=\"-webkit-text-decoration-skip:none\"><span style=\"text-decoration-skip-ink:none\">machine learning<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/a><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">.&nbsp;<\/span><\/span><\/span><\/span><\/span><\/span><br \/>\n&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Works with Small Datasets:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> Ideal when you don&#39;t have a lot of data.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Handles Outliers Gracefully:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> Do not panic when confronted with unusual data.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Versatile Tool:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> This can use for many problems like prediction, estimating accuracy, and more.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">No Strict Rules:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> Doesn&#39;t need fancy assumptions about your data.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<h3 id=\"configuration-of-extension-bootstrap-visual-studio-code\" style=\"line-height:1.38; margin-top:21px; margin-bottom:5px\"><span style=\"font-size:13.999999999999998pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#434343\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Configuration of Extension Bootstrap Visual Studio Code<\/span><\/span><\/span><\/span><\/span><\/span><\/h3>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">To get a better guess, you could create many fake groups of students by randomly picking names from your original group and allowing the same person to be picked more than once. However, this is called bootstrapping.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">When you&#39;re using bootstrapping, you need to decide two things:<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">How many people to put in each group:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> Usually, you&#39;ll pick the same number of people as you have in your whole group. But if you have a really significant group, you can choose a smaller number to save time.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">How many groups to make:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> You need to make enough groups to get a good idea of the average. Around 20 or 30 groups is a good starting point, but more is even better if you have time.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">The more groups you make and the bigger each group is, the more accurate your final answer will be. But remember, you don&#39;t want to spend permanently doing this, so find a balance that works for you.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<h3 id=\"bootstrapping-machine-learning-example\" style=\"line-height:1.38; margin-top:21px; margin-bottom:5px\">\n<span style=\"font-size:13.999999999999998pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#434343\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Bootstrapping Machine Learning Example<\/span><\/span><\/span><\/span><\/span><\/span><\/h3>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Let&#39;s understand the example to get a clearer picture of bootstrap in Machine Learning.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Suppose you have five friends and want to figure out the middle age of the group.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Original data:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> The ages of your five friends: 3, 4, 5, 6, 7.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Creating bootstrap samples: <\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">You randomly pick five friends from your original group, allowing the same friend to be picked more than once. For example, one group might be 5, 6, 3, 4, or 7.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Finding the middle age: <\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">For each group, you find the middle age. In the example, the middle age of the first group is 5.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Repeating the process:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> You create many more of these fake groups and find the middle age for each.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Building a picture:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> Once you have many middle ages, you can see how often different middle ages appear. However, this gives you an idea of what the real middle age of your group is likely to be.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Fundamental Points:<\/span><\/span><\/span><\/span><\/span><\/span><br \/>\n&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Resampling with replacement: <\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">This is crucial. As a result, you can pick the same friend multiple times for a fake group.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Creating a distribution:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\"> This distribution gives you a sense of how widespread the Middle Ages could be.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Confidence intervals:<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">&nbsp; For example, you might say you&#39;re 95% confident that the middle age is between 4 and 6.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Why Bootstrapping is Useful?<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">No assumptions: <\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Bootstrapping doesn&#39;t require you to know the exact shape of the data distribution.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Flexibility<\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">: It can use for many different statistics, not just the median.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<li aria-level=\"1\" style=\"list-style-type:disc\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:700\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Versatility: <\/span><\/span><\/span><\/span><\/span><\/span><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">It can apply to various problems in statistics and machine learning.<\/span><\/span><\/span><\/span><\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"line-height:1.38\"><span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">In other words, bootstrapping is an advanced way to make sense of data by creating many fake datasets and analyzing the results. It helps us understand how reliable our estimates are without making strong assumptions about the data.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<h4 id=\"concluding-thoughts\" style=\"line-height:1.38; margin-top:19px; margin-bottom:5px\">\n<span style=\"font-size:12pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#666666\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Concluding Thoughts<\/span><\/span><\/span><\/span><\/span><\/span><\/h4>\n<p style=\"line-height:1.38\">\n<span style=\"font-size:11pt; font-variant:normal; white-space:pre-wrap\"><span style=\"font-family:Arial,sans-serif\"><span style=\"color:#000000\"><span style=\"font-weight:400\"><span style=\"font-style:normal\"><span style=\"text-decoration:none\">Bootstrap in Machine Learning is a versatile tool that helps us make better decisions with data. By creating multiple copies of our data and shuffling them around, we can estimate how reliable our results are without making strong assumptions. As a result, this technique is especially helpful when we have limited data or when the data is complex. In addition, bootstrapping allows us to build more robust and accurate models by understanding the uncertainty in our predictions.<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<h4>\n<strong>Frequently Asked Questions<\/strong><\/h4>\n<div class=\"inblogffschema-faq\">\n<h5>\n<strong>Q1. What is Bootstrap in AIML?<\/strong><\/h5>\n<p><strong>Ans<\/strong>. The Bootstrap Sampling in AIML takes multiple guesses about the average height by measuring different groups of students again and again. Each time you measure a new group, you put everyone back in the pool.<\/p>\n<p><strong>Q2. What is the advantage of Bootstrap?<\/strong><\/p>\n<p><strong>Ans<\/strong>. Bootstrap is a toolbox filled with ready-made parts for building websites. Moreover, it has buttons, menus, and other advanced bits already designed, so you don&#39;t have to start from scratch. It&#39;s easy to use, even if you&#39;re just starting with building websites.<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Bootstrap in Machine Learning is a versatile tool that helps us make better decisions with data. <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-228","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Bootstrap in Machine Learning (ML) - A Step-by-Step Guide - Latest Insights &amp; Guides | Career Upskilling Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bootstrap in Machine Learning (ML) - A Step-by-Step Guide - Latest Insights &amp; Guides | Career Upskilling Blogs\" \/>\n<meta property=\"og:description\" content=\"Bootstrap in Machine Learning is a versatile tool that helps us make better decisions with data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"Latest Insights &amp; Guides | Career Upskilling Blogs\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-13T13:40:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/person\/53299d25f01528dd106c128db9251a11\"},\"headline\":\"Bootstrap in Machine Learning (ML) &#8211; A Step-by-Step Guide\",\"datePublished\":\"2024-08-13T13:40:07+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\"},\"wordCount\":1351,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\",\"url\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\",\"name\":\"Bootstrap in Machine Learning (ML) - A Step-by-Step Guide - Latest Insights &amp; Guides | Career Upskilling Blogs\",\"isPartOf\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg\",\"datePublished\":\"2024-08-13T13:40:07+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage\",\"url\":\"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg\",\"contentUrl\":\"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.upskillcampus.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Bootstrap in Machine Learning (ML) &#8211; A Step-by-Step Guide\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#website\",\"url\":\"https:\/\/www.upskillcampus.com\/blog\/\",\"name\":\"Latest Insights &amp; Guides | Career Upskilling Blogs\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.upskillcampus.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#organization\",\"name\":\"Latest Insights &amp; Guides | Career Upskilling Blogs\",\"url\":\"https:\/\/www.upskillcampus.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.upskillcampus.com\/blog\/wp-content\/uploads\/2025\/02\/upskill-campus-logo.png\",\"contentUrl\":\"https:\/\/www.upskillcampus.com\/blog\/wp-content\/uploads\/2025\/02\/upskill-campus-logo.png\",\"width\":300,\"height\":116,\"caption\":\"Latest Insights &amp; Guides | Career Upskilling Blogs\"},\"image\":{\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/person\/53299d25f01528dd106c128db9251a11\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/secure.gravatar.com\/avatar\/af615012e47fb46f753324ae6be7640f155bf27b583328f36862d4e5a1a55b83?s=96&d=mm&r=g\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/af615012e47fb46f753324ae6be7640f155bf27b583328f36862d4e5a1a55b83?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/af615012e47fb46f753324ae6be7640f155bf27b583328f36862d4e5a1a55b83?s=96&d=mm&r=g\",\"caption\":\"admin\"},\"sameAs\":[\"https:\/\/www.upskillcampus.com\/blog\"],\"url\":\"https:\/\/www.upskillcampus.com\/blog\/author\/admin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Bootstrap in Machine Learning (ML) - A Step-by-Step Guide - Latest Insights &amp; Guides | Career Upskilling Blogs","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/","og_locale":"en_US","og_type":"article","og_title":"Bootstrap in Machine Learning (ML) - A Step-by-Step Guide - Latest Insights &amp; Guides | Career Upskilling Blogs","og_description":"Bootstrap in Machine Learning is a versatile tool that helps us make better decisions with data.","og_url":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/","og_site_name":"Latest Insights &amp; Guides | Career Upskilling Blogs","article_published_time":"2024-08-13T13:40:07+00:00","og_image":[{"url":"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg","type":"","width":"","height":""}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"Written by":"admin","Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#article","isPartOf":{"@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/"},"author":{"name":"admin","@id":"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/person\/53299d25f01528dd106c128db9251a11"},"headline":"Bootstrap in Machine Learning (ML) &#8211; A Step-by-Step Guide","datePublished":"2024-08-13T13:40:07+00:00","mainEntityOfPage":{"@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/"},"wordCount":1351,"commentCount":0,"publisher":{"@id":"https:\/\/www.upskillcampus.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage"},"thumbnailUrl":"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg","inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/","url":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/","name":"Bootstrap in Machine Learning (ML) - A Step-by-Step Guide - Latest Insights &amp; Guides | Career Upskilling Blogs","isPartOf":{"@id":"https:\/\/www.upskillcampus.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage"},"image":{"@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage"},"thumbnailUrl":"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg","datePublished":"2024-08-13T13:40:07+00:00","breadcrumb":{"@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#primaryimage","url":"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg","contentUrl":"https:\/\/www.theiotacademy.co\/assets\/images\/socialicons\/bars-solid-icon-new.svg"},{"@type":"BreadcrumbList","@id":"https:\/\/www.upskillcampus.com\/blog\/bootstrap-in-machine-learning\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.upskillcampus.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Bootstrap in Machine Learning (ML) &#8211; A Step-by-Step Guide"}]},{"@type":"WebSite","@id":"https:\/\/www.upskillcampus.com\/blog\/#website","url":"https:\/\/www.upskillcampus.com\/blog\/","name":"Latest Insights &amp; Guides | Career Upskilling Blogs","description":"","publisher":{"@id":"https:\/\/www.upskillcampus.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.upskillcampus.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.upskillcampus.com\/blog\/#organization","name":"Latest Insights &amp; Guides | Career Upskilling Blogs","url":"https:\/\/www.upskillcampus.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.upskillcampus.com\/blog\/wp-content\/uploads\/2025\/02\/upskill-campus-logo.png","contentUrl":"https:\/\/www.upskillcampus.com\/blog\/wp-content\/uploads\/2025\/02\/upskill-campus-logo.png","width":300,"height":116,"caption":"Latest Insights &amp; Guides | Career Upskilling Blogs"},"image":{"@id":"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.upskillcampus.com\/blog\/#\/schema\/person\/53299d25f01528dd106c128db9251a11","name":"admin","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/af615012e47fb46f753324ae6be7640f155bf27b583328f36862d4e5a1a55b83?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/af615012e47fb46f753324ae6be7640f155bf27b583328f36862d4e5a1a55b83?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/af615012e47fb46f753324ae6be7640f155bf27b583328f36862d4e5a1a55b83?s=96&d=mm&r=g","caption":"admin"},"sameAs":["https:\/\/www.upskillcampus.com\/blog"],"url":"https:\/\/www.upskillcampus.com\/blog\/author\/admin\/"}]}},"_links":{"self":[{"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/posts\/228","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/comments?post=228"}],"version-history":[{"count":0,"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/posts\/228\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/media?parent=228"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/categories?post=228"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.upskillcampus.com\/blog\/wp-json\/wp\/v2\/tags?post=228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}