{"id":9302,"date":"2021-05-11T20:02:41","date_gmt":"2021-05-11T20:02:41","guid":{"rendered":"http:\/\/algotrading101.com\/learn\/?p=9302"},"modified":"2023-04-03T21:09:11","modified_gmt":"2023-04-03T21:09:11","slug":"sklearn-guide","status":"publish","type":"post","link":"https:\/\/algotrading101.com\/learn\/sklearn-guide\/","title":{"rendered":"Sklearn – An Introduction Guide to Machine Learning"},"content":{"rendered":"
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Table of Contents<\/h3>\n\n\n\n
  1. What is Sklearn?<\/a><\/li>
  2. What is Sklearn used for?<\/a><\/li>
  3. How to download Sklearn for Python?<\/a><\/li>
  4. How to pick the best scikit-learn model?<\/a><\/li>
  5. Sklearn preprocessing – Prepare the data for analysis<\/a>
    1. Sklearn feature encoding<\/a><\/li>
    2. Sklearn data scaling<\/a><\/li>
    3. Sklearn missing values<\/a><\/li>
    4. Sklearn train test split<\/a><\/li><\/ol><\/li>
    5. Sklearn Regression – Predict the future<\/a>
      1. Sklearn Linear Regression<\/a><\/li>
      2. Other Sklearn regression models<\/a><\/li><\/ol><\/li>
      3. Sklearn Classification – Did I just see a cat?<\/a>
        1. Sklearn\u00a0Decision Tree Classifier<\/a><\/li>
        2. Other Sklearn classification models<\/a><\/li><\/ol><\/li>
        3. Sklearn Clustering – Create groups of similar data<\/a>
          1. Sklearn DBSCAN<\/a><\/li>
          2. Other Sklearn clustering models<\/a><\/li><\/ol><\/li>
          3. Sklearn Dimensionality Reduction – Reducing random variables<\/a>
            1. Sklearn PCA<\/a><\/li>
            2. Other Sklearn Dimensionality Reduction models<\/a><\/li><\/ol><\/li>
            3. What are the 3 Common Machine Learning Analysis\/Testing Mistakes?<\/a><\/a><\/li>
            4. Full code<\/a><\/li><\/ol>\n\n\n\n\n\n\n\n

              What is Sklearn?<\/h2>\n\n\n\n

              Sklearn (scikit-learn) is a Python library that provides a wide range of unsupervised and supervised machine learning algorithms. <\/p>\n\n\n\n

              It is also one of the most used machine learning libraries and is built on top of SciPy.<\/p>\n\n\n\n

              Link: https:\/\/scikit-learn.org\/stable\/<\/a><\/p>\n\n\n\n\n\n\n\n

              What is Sklearn used for?<\/h2>\n\n\n\n

              The Sklearn Library is mainly used for modeling data and it provides efficient tools that are easy to use for any kind of predictive data analysis. <\/p>\n\n\n\n

              The main use cases of this library can be categorized into 6 categories which are the following:<\/p>\n\n\n\n