ML Learning Roadmap: 30 hands-on scikit-learn tutorials

We just published a 30-tutorial ML Learning Roadmap on Sharda Learning Center — case-study driven lessons with runnable Python, real datasets, and exercises.

What’s inside

• Foundations (Iris, Wine, train/test, CV, scaling)
• Preprocessing & pipelines
• Supervised learning (regression, trees, SVM, Naive Bayes)
• Model selection (metrics, ROC, grid/random search)
• Unsupervised learning (PCA, K-Means, hierarchical)
• Capstone: Titanic survival prediction

Start learning

→ Open the ML Learning Roadmap

→ Tutorial 01: Iris Flower Classification