Machine Learning
How machines learn from data: regression, trees, clustering, evaluation and the classic algorithms.
Advanced
Once the basics are comfortable.
Build Production-Grade AI Agents with the Gemini Enterprise Agent Platform
A video from Krish Naik on Build Production-Grade AI Agents with the Gemini Enterprise Agent Platform. Best once you are comfortable with the basics of Machine Learning. It plays here in the portal, and your progress is saved as you watch.
Krish Naik
Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!
A video from StatQuest (Josh Starmer) on Optimization with Linear Programming (and the Simplex Algorithm). Best once you are comfortable with the basics of Machine Learning. It plays here in the portal, and your progress is saved as you watch.
StatQuest (Josh Starmer)
Google: Clustering
A short Google course on k-means, similarity measures and how to judge whether clusters are any good.
Google: Recommendation Systems
How recommendation engines work: candidate generation, matrix factorisation and deep neural network recommenders.
Kaggle Learn: Intermediate Machine Learning
Handle missing values and categorical data, build pipelines, use cross-validation and train XGBoost models.
Kaggle
Kaggle Learn: Machine Learning Explainability
Find out what your model learned using permutation importance, partial dependence plots and SHAP values.
Kaggle
NPTEL: Introduction to Machine Learning (IIT Kharagpur)
Prof. Sudeshna Sarkar's course covering regression, decision trees, instance-based learning, SVMs and neural networks.
NPTEL / IIT Kharagpur
NPTEL: Introduction to Machine Learning (IIT Madras)
A full semester course on ML theory and algorithms by Prof. Balaraman Ravindran, with weekly assignments.
NPTEL / IIT Madras