ML concepts, supervised learning, and AI product thinking
Non-mathy introduction to ML — regression, classification, metrics, and when to use AI.
Supervised vs unsupervised, bias, datasets.
Regression, classification, validation.
LLMs vs ML, ethics, roadmaps.
Python scikit-learn and notebooks.
Sandeep Pal
Senior Software Engineer & Mentor