A Practical Guide to Machine Learning with Python

1- Decision Trees

Explore how decision trees work to classify and predict outcomes by splitting data into meaningful groups. This lesson guides you through implementing decision tree classifiers with Python, highlighting their visual structure and decision-making process.

We'll cover the following...

Introduction to decision trees
Exercise

1.Introduction to Course

2.Introduction to Machine Learning

3.Exploratory Data Analysis

4.Data Scrubbing

5.Pre-Model Algorithms

Project

6.Split Validation

7.Model Design

8.Linear Regression

9.Logistic Regression

10.Support Vector Machines

11.K-Nearest Neighbors

12.Tree-Based Methods

Project

13.Conclusion

14.Appendix

1- Decision Trees

Introduction to decision trees