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First end-to-end ML project developed in PyCharm, using the Kaggle car prices dataset. The objective is to develop a basic model from scratch using a custom environment, build an API, deploy and use it for predictions.

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anujg0510/CarPricePrediction

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CarPricePrediction

First end-to-end ML project on a Kaggle dataset - https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho

Involves the following steps:

  1. Python code - ML model building
  • Data ingestion
  • Data cleaning
  • Feature selection
  • Model building
  • Hyperparameter tuning
  • Model testing and exporting into pickle file
  1. HTML front end development using a simple index.html page

  2. API development in Python with the app.py file

  3. Deployment using github and Heroku (pending at the time of initial commit - to be updated)

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First end-to-end ML project developed in PyCharm, using the Kaggle car prices dataset. The objective is to develop a basic model from scratch using a custom environment, build an API, deploy and use it for predictions.

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