Implementation of End to End Kaggle Machine Learning Project With Deployment

Embark on a comprehensive end-to-end machine learning project focused on car price prediction, from data exploration to deployment on Heroku. Learn to create a new environment, explore and prepare vehicle data from Kaggle, fit models, extract features, and set up deployment requirements. Follow along as the instructor guides you through each step, including creating a GitHub repository for the project code. Gain practical insights into the entire machine learning workflow, culminating in a live deployment demonstration on the Heroku platform.

Create new environment
Project starts
Data exploration
Final data prepared
Model fitting, feature extraction
Deployment requirements.txt
Heroku deployment