Главная
Study mode:
on
1
Create new environment
2
Project starts
3
Data exploration
4
Final data prepared
5
Model fitting, feature extraction
6
Deployment requirements.txt
7
Heroku deployment
Description:
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.

Implementation of End to End Kaggle Machine Learning Project With Deployment

Krish Naik
Add to list
0:00 / 0:00