: A project-based video course that starts with environment setup (Anaconda/Jupyter) and moves into supervised and unsupervised learning.
: A developer-focused guide covering everything from classical algorithms (linear regression, k-nearest neighbors) to modern LLM-powered workflows using LangChain and Hugging Face. Practical Machine Learning with Python
: A free, step-by-step roadmap for preparing data, selecting algorithms, and evaluating model performance . Community Insights : A project-based video course that starts with
