Machine Learning

Machine Learning

Embark on a comprehensive 10-hour machine learning course taught in Hindi, covering fundamental concepts to advanced techniques. Learn about classic and adaptive machines, training and testing phases, overfitting and underfitting, feature selection, and multiclass classification approaches. Explore principal component analysis, regression analysis, confusion matrices, and the curse of dimensionality. Dive into various regression techniques, including linear, logistic, polynomial, ridge, lasso, and elastic net. Understand probability concepts, Bayes theorem, and different Naive Bayes classifiers. Master neural networks with back propagation algorithm explanations. Study support vector machines, decision trees, ensemble learning methods, and clustering algorithms. Discover recommendation systems, data preprocessing techniques, and practical implementations using Python and popular libraries like Pandas, Matplotlib, and scikit-learn.