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Beginner

Python for ML

The Python you actually need for machine learning, no more, no less.

Set up your environment and learn the Python and library fundamentals, NumPy, Pandas, Matplotlib and scikit-learn, that every machine learning workflow depends on.

7 of 7 lessons available

PYTHONthe languageNUMPYfast arraysPANDASlabeled tablesSCIKIT-LEARNthe modelsTHE STACK YOU WILL ACTUALLY TYPE INMATPLOTLIB DRAWS WHAT ANY OF THEM HOLDSEACH LAYER BUILDS ON THE ONE BELOW
Four tools, each built on the one below it. That stack is also the order this chapter teaches them in.

Lessons in this path

  1. Setting Up Your Python Environment
  2. Python Basics for Machine Learning: Variables, Lists and Functions
  3. NumPy: Arrays and Vectorized Computation
  4. Pandas: Loading and Exploring Data
  5. Data Visualization with Matplotlib
  6. An Introduction to scikit-learn
  7. Working Effectively in Jupyter Notebooks
Python for ML | OnePocketML