scikit-learn: A comprehensive machine learning library for Python that provides simple and efficient tools for data analysis and modeling.
TensorFlow: An open-source platform for machine learning and deep learning applications, offering a flexible ecosystem for building and deploying ML models.
Matplotlib: A widely-used plotting library in Python for creating static, animated, and interactive visualizations, essential for data exploration and presentation.
PyTorch: A deep learning framework that accelerates the path from research prototyping to production deployment, known for its flexibility and ease of use.
Apache Spark: A unified analytics engine for big data processing with built-in modules for streaming, SQL, machine learning, and graph processing.