Beginner-Friendly LibrariesCovers easy-to-use Python ML libraries with simple APIs and good documentation, ideal for those starting out in machine learning.

Deep Learning FrameworksIncludes powerful Python libraries like TensorFlow and PyTorch designed for building and training deep neural networks.

NLP-Focused LibrariesHighlights Python libraries specialized in natural language processing tasks such as text classification, sentiment analysis, and chatbots.

Computer Vision LibrariesFeatures Python libraries optimized for image recognition, object detection, and visual data processing.

Time Series & Forecasting ToolsFocuses on libraries that excel in analyzing sequential data and predicting future trends.

Lightweight & Fast PrototypingLists minimalistic Python ML libraries that allow rapid experimentation and prototyping.

Big Data IntegrationCovers libraries that integrate with big data platforms like Spark for large-scale ML processing.

Academic & Research ToolsHighlights libraries with strong support for experimentation, reproducibility, and advanced algorithms.