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Data Analysis & Machine Learning with Python #

K_DM Book is a hands-on tutorial site covering data analysis and machine learning in Python. From core algorithms like regression and classification to time-series analysis, visualisation patterns, and financial data, it offers 270+ pages of code-driven guides.

Content map #

1 Foundations & Data Prep

Start here. Learn to understand, clean, and transform your data before modelling.

Data Preparation Feature Selection
2 Model Building

Implement core ML algorithms in Python. Start with regression for prediction or logistic regression / SVM for classification.

Regression Classification Decision Trees Ensemble Clustering Dim. Reduction Anomaly Detection
3 Evaluation & Improvement

Measure model performance correctly and improve it. If you're unsure which metric to use, start here.

Metrics Model Selection Interpretability
4 Applications

Apply to real-world data. The visualisation catalog helps you find the right chart for any task.

Time Series Finance Visualisation Catalog Glossary