Foundations
Python Essentials for ML
Build a solid foundation in Python programming with focus on data structures, libraries like NumPy and Pandas, and scientific computing. This module prepares you for machine learning workflows.
Introduction
Build a solid foundation in Python programming with focus on data structures, libraries like NumPy and Pandas, and scientific computing. This module prepares you for machine learning workflows.
4 Lessons
30h Est. Time
4 Objectives
1 Assessment
By completing this module you will be able to:
✓ Master Python fundamentals and object-oriented programming
✓ Work with NumPy arrays and Pandas DataFrames
✓ Perform data cleaning and exploratory analysis
✓ Understand computational complexity and optimization
Lessons
Work through each lesson in order. Each one builds on the concepts from the previous lesson.
1
Python Data Structures for ML
2
Data Loading, Cleaning, and Preprocessing
3
Data Visualization for Analysis
4
Scientific Python Ecosystem
Recommended Reading
Supplement your learning with these selected chapters from the course library.
Learn Python Programming 4e
Chapters 1-10
Module Assessment
Python Essentials for ML
Question 1 of 3