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End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment

Krish Naik via YouTube

Overview

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This beginner course builds a linear regression model for Boston house-price prediction and turns it into a Flask web application. It covers dataset preparation, model evaluation, environment setup, GitHub Actions, Heroku deployment, and Docker-based deployment.

Syllabus

Understanding the dataset
Preparing Dataset And Basic Analysis
Preparing Dataset For Model Training
Training The Model
Performance Metrics
Prediction Of New Data
Pickling the model file
Setting Up Github And VS Code
Tools And Software Required
Creating A New Environment
Setting up Git
Creating A FLASK Web Application
Running An Testing our application
Prediction From Front End Application
Procfile for Heroku Deployment
Deploying The App To Heroku
Deploying The App Using Dockers

Taught by

Krish Naik

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