Explore the basics of handling datasets in machine learning, understanding the distinction between training and test data, and the role of cross-validation. Simplified for beginners.
Simplifying Machine Learning: Dimensionality Reduction
Explore the concept of dimensionality reduction in machine learning, understand various techniques including PCA, and learn how they simplify your data analysis.
Machine Learning Algorithms: A Comprehensive Guide
Explore the fundamental types of machine learning algorithms (Regression, Classification, and Clustering) and learn about preparing your dataset, feature engineering, selection, and extraction.