Scikit-learn Library for Data Science and Machine Learning

Scikit-learn is a Python library for Machine Learning.

It has tools to create models, train data and test models for predicting or classifying data.



Why Scikit-learn is used in Python for Data Science:

It has Simple functions to train models and make predictions.

It Supports many algorithms: Linear Regression, Decision Trees, Random Forest, K-Nearest Neighbors, Clustering, etc.

Test Model and Provides metrics like accuracy, r-squared, mean squared error.

Prepare data with Scaling, encoding, splitting data into train / test datasets.

Works with NumPy, Pandas, and Matplotlib easily.

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