Python for Data Science — Machine Learning Roadmap
The core libraries every ML workflow in Python is built on
Steps in Python for Data Science
- NumPy for Numerical Computing — beginner · Arrays, vectorized operations and why NumPy is faster than plain Python loops
- Pandas for Data Manipulation — beginner · DataFrames, Series, filtering, grouping and merging tabular data
- Data Visualization with Matplotlib & Seaborn — beginner · Plotting distributions, relationships and trends to understand data visually
- Jupyter Notebooks & Reproducible Workflows — beginner · Working interactively while keeping analysis reproducible and shareable
Part of
- Machine Learning roadmap — the full learning path