Comprehensive set of notes/code covering the core Python data science stack from a structured learning book.
- Chapter 2: NumPy - Array operations, indexing, filtering, and numerical computing
- Chapter 3: Pandas - Data manipulation, cleaning, aggregation, and time series analysis
- Chapter 4: Matplotlib - Data visualization, plotting, and statistical graphics
- Chapter 5: Machine Learning - (in development)
data_analysis/
βββ ch2-numpy/ # NumPy fundamentals
βββ ch3-pandas/ # Pandas data analysis
βββ ch4-matplotlib/ # Data visualization
βββ ch5-mach-learning/ # ML fundamentals
βββ data/ # Example datasets