Machine Learning Tutorials
Master machine learning, data science, and analytics through interactive tutorials and hands-on projects
Natural Language Processing Fundamentals
Learn the fundamentals of Natural Language Processing with interactive examples and hands-on exercises.
Master NLP concepts through 8 interactive sections covering tokenization, sentiment analysis, and more.
Naive Bayes Classification Guide
Master Naive Bayes classification with interactive weather prediction demo and comprehensive mathematical explanations.
Learn Naive Bayes through interactive weather prediction examples, mathematical foundations, and real-world applications.
Machine Learning Fundamentals
Complete hands-on course with Python implementations and real-world examples covering introduction, regression, and classification.
Complete ML fundamentals course with three comprehensive chapters covering introduction, regression, and classification.
Understanding ML Model Relationships: From Basic Models to Ensemble Methods
Interactive guide to understanding how different ML techniques connect, from basic models through regularization to ensemble methods like Random Forest and XGBoost
Master the relationships between ML algorithms through 8 interactive chapters covering the journey from linear models to advanced ensemble methods.
Decision Trees Tutorial
Master decision tree algorithms from basics to advanced techniques. 5 comprehensive chapters covering introduction, mathematics, Python implementation, overfitting prevention, and ensemble methods.
Interactive decision tree tutorial with Python demos, mathematical foundations, and practical applications across 5 focused chapters.
Complete Exploratory Data Analysis: LeetCode Dataset
Master the complete EDA workflow from data loading to insights, using a real LeetCode dataset with 1825 coding problems.
Learn the complete EDA process: missing data strategies, outlier detection, visualization techniques, and statistical insights.
Comprehensive Clustering Analysis
Master clustering algorithms from mathematical foundations to advanced applications. 15 comprehensive chapters covering distance metrics, K-means, hierarchical clustering, DBSCAN, and evaluation techniques.
Clean, interactive clustering tutorial with mathematical foundations, algorithm implementations, and real-world applications across 15 detailed chapters.
Interactive Linear Algebra: Matrix-Vector Multiplication
Visualize 2D matrix-vector multiplication with interactive animations. Understand linear transformations through drag-and-drop vector manipulation and real-time matrix operations.
Interactive 2D visualization of matrix-vector multiplication with drag-and-drop vectors, real-time transformations, and 3Blue1Brown-inspired animations.