Overview
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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.
Syllabus
Create new environment
Project starts
Data exploration
Final data prepared
Model fitting, feature extraction
Deployment requirements.txt
Heroku deployment
Taught by
Krish Naik