WHAT YOU'LL LEARN
Show more
Content
1.
Course Introduction
1 Lessons
2.
Linear Regression
16 Lessons
3.
Regularization
6 Lessons
4.
Bias-Variance Trade-off
7 Lessons
5.
Categorical Features
6 Lessons
6.
Logistic Regression
7 Lessons
7.
Logistic Regression: Titanic Data
10 Lessons
8.
Multiclass Classification and Handling Imbalanced Classes
6 Lessons
9.
Project: Predicting Chronic Kidney Disease
4 Lessons
10.
K-Nearest Neighbors
5 Lessons
11.
Implementation of K-Nearest Neighbors
7 Lessons
12.
Logistic Regression vs. KNN
6 Lessons
13.
Decision Tree Learning
14 Lessons
14.
Bootstrapping and Confidence Interval
5 Lessons
15.
Support Vector Machine
9 Lessons
16.
Practice and Comparisons
3 Lessons
17.
What's Next?
1 Lessons
18.
Appendix
1 Lessons
Course Author:
Trusted by 2.7 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Software Developer
Carlos Matias La Borde
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Code Feedback
Explain with AI
AI Code Mentor
Free Resources