ML Skills for 2025: Start with the essential libraries powering modern machine learning and real-world AI projects..TensorFlow: A scalable library for building deep learning models used in production-grade applications..PyTorch: A flexible, research-friendly framework known for intuitive model building and fast experimentation..Scikit-Learn: A beginner-friendly library offering tools for classification, regression, clustering, and preprocessing..Keras: A high-level API that simplifies deep learning workflows and speeds up model prototyping..XGBoost: A powerful library for gradient boosting that excels in competitions and structured data tasks..LightGBM: A fast, efficient boosting framework ideal for large datasets and high-performance ML pipelines..Hugging Face Transformers: A leading library for NLP, enabling state-of-the-art text, speech, and vision models..Final Insight: Mastering these libraries builds a strong ML foundation and prepares you for future AI advancements..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp