Machine Learning Problem Solving from Seasoned Professional
Understand the Machine Learning Pipeline in depth
17 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
3
Course Overview
ML Pipeline
About the Dataset
2. Hands-on with ML
9
Setting Up the Prerequisites
Analyzing the Data
Visualizing the Data
Outlier Investigation
Building Baseline Models
Feature Engineering
Feature Selection
Hyperparameter Tuning
Ensemble Methods
3. Further Steps in the ML Pipeline
3
Model Deployment - Components
Methods of Deployment
Monitoring the Model
4. Additional Resources
2
Notebook
All Resources
