ekramasif/Basic-Machine-Learning

Curated learning resource covering classical ML algorithms (classification, regression, SVM, decision trees, ensemble methods) alongside deep learning architectures (CNNs, RNNs, LSTMs, autoencoders) and specialized domains including NLP, computer vision, and reinforcement learning. Organized by topic with links to tutorials, research articles, and practical implementations, primarily targeting learners transitioning from foundational concepts to more advanced techniques. Includes interview preparation materials and Kaggle competition resources to support practical application of covered concepts.