Machine Learning Algorithms in Hindi (Krish Naik)

A 38-lesson, roughly 13-hour Hindi playlist that explains each major machine learning algorithm twice: first the maths intuition, then a practical Python implementation. It covers simple and multiple linear regression with MSE, MAE and RMSE, ridge, lasso and elastic net, logistic regression, Naive Bayes, KNN, bias and variance, precision, recall and F-beta, SVM and SVR with kernels, decision trees, ensembles and gradient boosting, then long sessions on unsupervised learning (K-means, DBSCAN, hierarchical clustering) and anomaly detection. Good preparation for data science interviews.