{"componentChunkName":"component---src-templates-tags-tsx","path":"/tags/machine-learning-models/","result":{"data":{"allTagYaml":{"edges":[{"node":{"id":"speeches","description":"Some of the greatest words ever spoken.","image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282818","images":{"fallback":{"src":"/static/4dd7b5f567d2699202bc626bbcda5936/7f071/speeches-cover.jpg","srcSet":"/static/4dd7b5f567d2699202bc626bbcda5936/7a1a9/speeches-cover.jpg 750w,\n/static/4dd7b5f567d2699202bc626bbcda5936/25ec5/speeches-cover.jpg 1080w,\n/static/4dd7b5f567d2699202bc626bbcda5936/28e43/speeches-cover.jpg 1366w,\n/static/4dd7b5f567d2699202bc626bbcda5936/7f071/speeches-cover.jpg 1400w","sizes":"100vw"},"sources":[{"srcSet":"/static/4dd7b5f567d2699202bc626bbcda5936/662b3/speeches-cover.webp 750w,\n/static/4dd7b5f567d2699202bc626bbcda5936/6e6c6/speeches-cover.webp 1080w,\n/static/4dd7b5f567d2699202bc626bbcda5936/e4be3/speeches-cover.webp 1366w,\n/static/4dd7b5f567d2699202bc626bbcda5936/04d29/speeches-cover.webp 1400w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.4407142857142857}}}}},{"node":{"id":"Tests","description":"Some very great tests even with a description wow! uhhhhhh","image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#484848","images":{"fallback":{"src":"/static/8bafcea43f0bc141b01ef5b43dd2003b/997dc/testimg1.jpg","srcSet":"/static/8bafcea43f0bc141b01ef5b43dd2003b/1a909/testimg1.jpg 750w,\n/static/8bafcea43f0bc141b01ef5b43dd2003b/997dc/testimg1.jpg 1080w","sizes":"100vw"},"sources":[{"srcSet":"/static/8bafcea43f0bc141b01ef5b43dd2003b/207cf/testimg1.webp 750w,\n/static/8bafcea43f0bc141b01ef5b43dd2003b/3c432/testimg1.webp 1080w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.663888888888889}}}}}]},"allMdx":{"totalCount":4,"edges":[{"node":{"excerpt":"Elastic net is a combination of the two most popular regularized variants of linear regression: ridge and lasso.  Ridge utilizes an L2 penalty and lasso uses an L1 penalty. With elastic net, you don't have to choose between these two models, because elastic net uses both the L2 and the L1 penalty! In practice, you will almost always want to use elastic net over ridge or lasso, and in this article you will learn everything you need to know to do so, successfully!","frontmatter":{"title":"Elastic Net Regression Explained, Step by Step","excerpt":"Elastic net is a combination of the two most popular regularized variants of linear regression: ridge and lasso.  Ridge utilizes an L2 penalty and lasso uses an L1 penalty. With elastic net, you don't have to choose between these two models, because elastic net uses both the L2 and the L1 penalty! In practice, you will almost always want to use elastic net over ridge or lasso, and in this article you will learn everything you need to know to do so, successfully!","tags":["Machine Learning Models"],"date":"2021-06-26T08:28:02.234Z","timeToRead":7,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#081818","images":{"fallback":{"src":"/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/87706/ElasticNetRegression_Thumbnail.png","srcSet":"/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/0dee1/ElasticNetRegression_Thumbnail.png 750w,\n/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/8beaa/ElasticNetRegression_Thumbnail.png 1080w,\n/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/87706/ElasticNetRegression_Thumbnail.png 1280w","sizes":"100vw"},"sources":[{"srcSet":"/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/a66aa/ElasticNetRegression_Thumbnail.webp 750w,\n/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/65dd5/ElasticNetRegression_Thumbnail.webp 1080w,\n/static/73e4a37e19eb2668d1fddc5ebf3bd7c1/71d4d/ElasticNetRegression_Thumbnail.webp 1280w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5625}}},"author":[{"id":"Boris Giba","bio":"Hi! 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It enhances regular linear regression by slightly changing its cost function, which results in less overfit models. Lasso regression is very similar to ridge regression, but there are some key differences between the two that you will have to understand if you want to use them effectively. In this article, you will learn everything you need to know about lasso regression, the differences between lasso and ridge, as well as how you can start using lasso regression in your own machine learning projects.","frontmatter":{"title":"Lasso Regression Explained, Step by Step","excerpt":"Lasso regression is an adaptation of the popular and widely used linear regression algorithm. It enhances regular linear regression by slightly changing its cost function, which results in less overfit models. Lasso regression is very similar to ridge regression, but there are some key differences between the two that you will have to understand if you want to use them effectively. In this article, you will learn everything you need to know about lasso regression, the differences between lasso and ridge, as well as how you can start using lasso regression in your own machine learning projects.","tags":["Machine Learning Models"],"date":"2021-06-20T16:35:36.458Z","timeToRead":16,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#181818","images":{"fallback":{"src":"/static/1cbee7448495e7e7fa3771995e853206/87706/LassoRegression_Thumbnail.png","srcSet":"/static/1cbee7448495e7e7fa3771995e853206/0dee1/LassoRegression_Thumbnail.png 750w,\n/static/1cbee7448495e7e7fa3771995e853206/8beaa/LassoRegression_Thumbnail.png 1080w,\n/static/1cbee7448495e7e7fa3771995e853206/87706/LassoRegression_Thumbnail.png 1280w","sizes":"100vw"},"sources":[{"srcSet":"/static/1cbee7448495e7e7fa3771995e853206/a66aa/LassoRegression_Thumbnail.webp 750w,\n/static/1cbee7448495e7e7fa3771995e853206/65dd5/LassoRegression_Thumbnail.webp 1080w,\n/static/1cbee7448495e7e7fa3771995e853206/71d4d/LassoRegression_Thumbnail.webp 1280w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5625}}},"author":[{"id":"Boris Giba","bio":"Hi! 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It enhances regular linear regression by slightly changing its cost function, which results in less overfit models. In this article, you will learn everything you need to know about Ridge Regression, and how you can start using it in your own machine learning projects.","frontmatter":{"title":"Ridge Regression Explained, Step by Step","excerpt":"Ridge Regression is an adaptation of the popular and widely used linear regression algorithm. It enhances regular linear regression by slightly changing its cost function, which results in less overfit models. 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In this post you will learn how linear regression works on a fundamental level. You will also implement linear regression both from scratch as well as with the popular library scikit-learn in Python. You will learn when and how to best use linear regression in your machine learning projects. You do not need any knowledge prior to reading this article.","frontmatter":{"title":"Linear Regression Explained, Step by Step","excerpt":"Linear regression is one of the most famous algorithms in statistics and machine learning. In this post you will learn how linear regression works on a fundamental level. You will also implement linear regression both from scratch as well as with the popular library scikit-learn in Python. You will learn when and how to best use linear regression in your machine learning projects. You do not need any knowledge prior to reading this article.","tags":["Machine Learning Models"],"date":"2021-03-20T18:17:30.352Z","timeToRead":23,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#182838","images":{"fallback":{"src":"/static/c32af02d3a84ba704bed82458e50c3fb/87706/LinearRegression_Thumbnail.png","srcSet":"/static/c32af02d3a84ba704bed82458e50c3fb/0dee1/LinearRegression_Thumbnail.png 750w,\n/static/c32af02d3a84ba704bed82458e50c3fb/8beaa/LinearRegression_Thumbnail.png 1080w,\n/static/c32af02d3a84ba704bed82458e50c3fb/87706/LinearRegression_Thumbnail.png 1280w","sizes":"100vw"},"sources":[{"srcSet":"/static/c32af02d3a84ba704bed82458e50c3fb/a66aa/LinearRegression_Thumbnail.webp 750w,\n/static/c32af02d3a84ba704bed82458e50c3fb/65dd5/LinearRegression_Thumbnail.webp 1080w,\n/static/c32af02d3a84ba704bed82458e50c3fb/71d4d/LinearRegression_Thumbnail.webp 1280w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5625}}},"author":[{"id":"Boris Giba","bio":"Hi! 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