With Python: Practical Machine Learning

: A broad overview of algorithms and a deep dive into the Python Machine Learning Ecosystem , covering essential libraries like Scikit-Learn.

: Focused on the end-to-end workflow, including data processing, feature engineering, and model deployment . Practical Machine Learning with Python

: A developer-focused guide covering everything from classical algorithms (linear regression, k-nearest neighbors) to modern LLM-powered workflows using LangChain and Hugging Face. : A broad overview of algorithms and a

“Spend 80% of your time writing code and only 20% watching tutorials.” LinkedIn · 4 months ago including data processing