ML for Beginners - Microsoft
12-week / 26-lesson classical ML curriculum (Scikit-learn)
A structured 12-week, 26-lesson curriculum covering classical machine learning: regression, clustering, classification, NLP basics, time-series forecasting, and model evaluation using Scikit-learn. The right starting point if you want ML fundamentals before jumping into LLMs.
Learn from ReposFreebeginner~48h
Submitted by @yahianaimRoadmap (3 steps)
1
Intro & data
Weeks 1-3#ML history & fairness#Data handling with NumPy/pandas#Data visualization
2
Core algorithms
Weeks 4-8#Linear & logistic regression#Decision trees & clustering#Classification metrics
3
Applied ML
Weeks 9-12#NLP basics#Time-series forecasting#Model deployment mindset