Top Free Resources To Learn Scikit-Learn

Top Free Resources To Learn Scikit-Learn

Check out the best and free resources to study Scikit-Learn.

Scikit-Learn is one of the popular software machine learning libraries. The library is built on top of NumPy, SciPy, and Matplotlib and supports supervised and unsupervised learning as well as provides various tools for model fitting, data preprocessing, model selection and evaluation.

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Top Free Resources To Learn Scikit-Learn

All The Free ML/AI Courses Launched At Google I/O Scikit-Learn is one of the popular software machine learning libraries. The library is built on top of NumPy, SciPy, and Matplotlib and supports supervised and unsupervised learning as well as provides various tools for model fitting, data preprocessing, model selection and evaluation.

Building and optimizing pipelines in Scikit-Learn

Welcome to this video tutorial on Scikit-Learn. this video explains How We use the MinMaxScaler and linear Logistic Regression Model in a pipeline and use it on the Iris dataset.

Multiple Linear Regression with SciKit-Learn in Python

In the previous video I've explained the concept of linear regression where a single independent variable (X) was used to model the dependent variable (Y).

Complete Guide To Handling Categorical Data Using Scikit-Learn

Handling categorical features to preprocess before building machine learning models. Techniques of encoding categorical features to numeric.