Introduction to Implementation of Classification & Regression Models
Learn How to Implement Classification and Regression ML Models
23 Tutorials
0 Exercises
Beginner Level
100% Online
Self-paced
Our Alumni Work At
About this course
Contributors & Instructors
What you will learn?
Course Content
1. Introduction
5
Course Overview
Types of Problems
Supervised Machine Learning Workflow
Some Keywords in Supervised Machine Learning
Train-Test Split
2. Hands-on Classification Problem
9
Loading the Dataset
Data Exploration and Cleaning
Train-Test Split
Feature Selection
Splitting Data into Features and Labels
Decision Trees Intuition
Model Building
Model Evaluation
Visualizing a Decision Tree
3. Hands-on Regression Problem
8
Loading the Dataset
Exploring and Cleaning the Data
Train-Test Split
Feature Selection
Splitting Data into Features and Labels
Linear Regression Intuition
Model Building
Model Evaluation
4. Additional Resources
1
Notebook
