{"componentChunkName":"component---src-templates-tags-tsx","path":"/tags/dataset-optimization/","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":2,"edges":[{"node":{"excerpt":"Standardization is one of the most useful transformations you can apply to your dataset. What is even more important is that many models, especially regularized ones, require the data to be standardized in order to function properly. In this article, you will learn everything you need to know about standardization. You will learn why it works, when you should use it, and how you can do so with just a few lines of code.","frontmatter":{"title":"When, Why, And How You Should Standardize Your Data","excerpt":"Standardization is one of the most useful transformations you can apply to your dataset. What is even more important is that many models, especially regularized ones, require the data to be standardized in order to function properly. In this article, you will learn everything you need to know about standardization. You will learn why it works, when you should use it, and how you can do so with just a few lines of code.","tags":["Dataset Optimization"],"date":"2021-07-06T11:47:10.172Z","timeToRead":10,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#485868","images":{"fallback":{"src":"/static/d95f1cf4daefb962c345773fa1506879/87706/Standardization_Thumbnail.png","srcSet":"/static/d95f1cf4daefb962c345773fa1506879/0dee1/Standardization_Thumbnail.png 750w,\n/static/d95f1cf4daefb962c345773fa1506879/8beaa/Standardization_Thumbnail.png 1080w,\n/static/d95f1cf4daefb962c345773fa1506879/87706/Standardization_Thumbnail.png 1280w","sizes":"100vw"},"sources":[{"srcSet":"/static/d95f1cf4daefb962c345773fa1506879/a66aa/Standardization_Thumbnail.webp 750w,\n/static/d95f1cf4daefb962c345773fa1506879/65dd5/Standardization_Thumbnail.webp 1080w,\n/static/d95f1cf4daefb962c345773fa1506879/71d4d/Standardization_Thumbnail.webp 1280w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5625}}},"author":[{"id":"Boris Giba","bio":"Hi! I'm Boris and I run this website. You can find more information in the \"About\"-tab.","avatar":{"children":[{"fluid":{"base64":"data:image/jpeg;base64,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","aspectRatio":1,"src":"/static/ba9e631272af1b925d6491b30df3b36f/2f1b1/boris.jpg","srcSet":"/static/ba9e631272af1b925d6491b30df3b36f/b3d27/boris.jpg 40w,\n/static/ba9e631272af1b925d6491b30df3b36f/5a735/boris.jpg 80w,\n/static/ba9e631272af1b925d6491b30df3b36f/6e81a/boris.jpg 120w,\n/static/ba9e631272af1b925d6491b30df3b36f/2f1b1/boris.jpg 800w,\n/static/ba9e631272af1b925d6491b30df3b36f/97bce/boris.jpg 1878w","sizes":"(max-width: 800px) 100vw, 800px"}}]}}]},"fields":{"layout":"post","slug":"/dataset_optimization/standardization/"}}},{"node":{"excerpt":"If you are just starting out in machine learning and building your first real models, you will have to split your dataset into a train set as well as a test set. But what benefits does this splitting yield? How can you split your dataset optimally? In this article, we will go through these questions and explore why splitting your dataset makes sense and how you can split your dataset properly.","frontmatter":{"title":"How to Split Your Dataset the Right Way","excerpt":"If you are just starting out in machine learning and building your first real models, you will have to split your dataset into a train set as well as a test set. But what benefits does this splitting yield? How can you split your dataset optimally? In this article, we will go through these questions and explore why splitting your dataset makes sense and how you can split your dataset properly.","tags":["Dataset Optimization"],"date":"2021-05-01T18:09:26.968Z","timeToRead":15,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#081828","images":{"fallback":{"src":"/static/e9b8f309bba40fd754df6982c7c7159d/87706/SplitDataTheRightWay_Thumbnail.png","srcSet":"/static/e9b8f309bba40fd754df6982c7c7159d/0dee1/SplitDataTheRightWay_Thumbnail.png 750w,\n/static/e9b8f309bba40fd754df6982c7c7159d/8beaa/SplitDataTheRightWay_Thumbnail.png 1080w,\n/static/e9b8f309bba40fd754df6982c7c7159d/87706/SplitDataTheRightWay_Thumbnail.png 1280w","sizes":"100vw"},"sources":[{"srcSet":"/static/e9b8f309bba40fd754df6982c7c7159d/a66aa/SplitDataTheRightWay_Thumbnail.webp 750w,\n/static/e9b8f309bba40fd754df6982c7c7159d/65dd5/SplitDataTheRightWay_Thumbnail.webp 1080w,\n/static/e9b8f309bba40fd754df6982c7c7159d/71d4d/SplitDataTheRightWay_Thumbnail.webp 1280w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5625}}},"author":[{"id":"Boris Giba","bio":"Hi! I'm Boris and I run this website. You can find more information in the \"About\"-tab.","avatar":{"children":[{"fluid":{"base64":"data:image/jpeg;base64,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","aspectRatio":1,"src":"/static/ba9e631272af1b925d6491b30df3b36f/2f1b1/boris.jpg","srcSet":"/static/ba9e631272af1b925d6491b30df3b36f/b3d27/boris.jpg 40w,\n/static/ba9e631272af1b925d6491b30df3b36f/5a735/boris.jpg 80w,\n/static/ba9e631272af1b925d6491b30df3b36f/6e81a/boris.jpg 120w,\n/static/ba9e631272af1b925d6491b30df3b36f/2f1b1/boris.jpg 800w,\n/static/ba9e631272af1b925d6491b30df3b36f/97bce/boris.jpg 1878w","sizes":"(max-width: 800px) 100vw, 800px"}}]}}]},"fields":{"layout":"post","slug":"/dataset_optimization/split_data_the_right_way/"}}}]}},"pageContext":{"tag":"Dataset Optimization"}},"staticQueryHashes":["13077718","1316742457","2907728042","3762220167"]}