Python Coding, Part 2

Module 2: Introduction to Python Coding, Part 2

Understand and use Python dictionaries
Use dictionaries to store appropriate data
Understand the CSV format and how it represents structured data.
Read and parse CSV files.
Convert CSV data into NumPy arrays and Pandas DataFrames
Create and manipulate NumPy arrays for 1D and 2D datasets.
Create various plot types using matplotlib.pyplot
Learn how visualization complements statistical analysis to reveal trends in data
Understand type abstraction and why it matters in Python programming.
Create user-defined types with classes, attributes, and methods.
Build modular code using classes to simulate real-world systems.
Design simulations of real-life situations using data abstraction and object-oriented design.
Learn different types of ML problems: classification, regression, and clustering.
Study how decision trees and random forests work
Understand overfitting and randomness in ensemble methods
Apply learned Python skills to explore machine learning examples