机器学习入门指南 - 第 2 级
Machine Learning for Absolute Beginners - Level 2
- 01 - Getting Started with Level 2!
- 001 Welcome!
- 002 Anaconda Installation
- 003 JupyterLab Overview
- 004 Working with a Jupyter Notebook
- 02 - Python Fundamentals for Data Science
- 001 Overview
- 002 Variables and Data Types
- 003 Strings
- 004 Lists
- 005 IF and For-Loop Statements
- 006 Functions
- 007 Dictionaries
- 008 Classes, Objects, Attributes, and Methods
- 009 Importing Modules
- 010 Libraries for Data Science Projects
- 011 Exercise #1 - Python Fundamentals
- 03 - Introduction to the Pandas Library
- 001 Overview
- 002 Series Data Structure (1D)
- 003 DataFrame Data Structure (2D)
- 004 Data Selection in a DataFrame
- 005 Exercise #2 – Pandas Series and DataFrame
- 04 - Loading Data into a DataFrame
- 001 Overview
- 002 Kaggle and the Titanic Dataset
- 003 Loading a Tabular Data File
- 004 Adjusting the Loading Parameters
- 005 Preview the DataFrame
- 006 Using Summary Statistics
- 007 The Concept of Methods Chaining
- 008 Sorting and Ranking
- 009 Filtering
- 010 Grouping
- 011 Exercise #3 – Data Loading and Analysis
- 05 - Data Cleaning and Transformation
- 001 Overview
- 002 Removing Columns or Rows
- 003 Removing Duplicate Rows
- 004 Renaming Column Labels
- 005 Dropping Missing Values
- 006 Filling-in Missing Values
- 007 Creating Dummy Variables
- 008 Exporting Data into Files
- 009 Exercise #4 – Data Cleaning and Transformation
- 06 - Course Summary
- 001 Let's Recap and Thank You!