Explore

EXPLORE THE CATALOGSupercharge your career with 700+ hands-on courses

View All Courses

Python

Java

JavaScript

React

Docker

Vue JS

Web Dev

DevOps

AWS

LEARNING TOOLSExplore the industry's most complete learning platform

CoursesLevel up your skills

Cloud LabsSetup-free practice with Cloud Services

Skill PathsAchieve learning goals

ProjectsBuild real-world applications

Mock InterviewsNewAI-Powered interviews

Personalized Interview PrepNewGet a custom roadmap tailored to your goals

AssessmentsBenchmark your skills

Personalized PathsGet the right resources for your goals

LEARN TO CODE

Check out our beginner friendly courses.

Pricing

For Business

Resources

NewsletterCurated insights on AI, Cloud & System Design

BlogFor developers, By developers

Free CheatsheetsDownload handy guides for tech topics

Business Machine Learning/

...

Summary

Go over a summary of what we have learned in this chapter.

We'll cover the following...

The data and exploratory data analysis
Data preprocessing and preparation
Model training and evaluation
Feature importance and model explainability

Access this course and 1400+ top-rated courses and projects.

Lifetime Discount - 50% Off

$13

$24.83/month

Preview Free Lessons→

Preview Free Lessons

Course Introduction

Linear Regression

Regularization

Bias-Variance Trade-off

Categorical Features

Logistic Regression

Logistic Regression: Titanic Data

Sentiment Analysis Using Multinomial Logistic Regression

Multiclass Classification and Handling Imbalanced Classes

Project: Predicting Chronic Kidney Disease

K-Nearest Neighbors

Implementation of K-Nearest Neighbors

Logistic Regression vs. KNN

Decision Tree Learning

Implement the Decision Tree Classifier from Scratch

Bootstrapping and Confidence Interval

Support Vector Machine

Practice and Comparisons

What's Next?

Appendix

Summary