Scikit-learn

Explore Scikit-learn, a powerful library for machine learning in Python. Learn to preprocess data, implement dimensionality reduction techniques, and build robust machine learning pipelines. Master model evaluation metrics and hyperparameter tuning to optimize your models effectively.

Introduction to Scikit-learn

An overview of Scikit-learn, its key components, and how it serves as a fundamental tool for data preprocessing, feature engineering, and mathematical operations in data science.

Building and Using Pipelines

Learn how to create and use Scikit-learn pipelines to streamline data preprocessing and feature engineering tasks in your data science workflows.

Dimensionality Reduction in Scikit-learn

Learn the concepts and techniques of dimensionality reduction using Scikit-learn, including PCA, LDA, Kernel PCA, and other methods to simplify data while preserving essential information.