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How to Develop an End-to-End Machine Learning Project and Deploy it to Heroku with Flask

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Auto-MPG-FCC

How to Develop an End-to-End Machine Learning Project and Deploy it to Heroku with Flask

More information at https://www.freecodecamp.org/news/end-to-end-machine-learning-project-turorial/

The series will cover everything from Data Collection to Model Deployment using Flask Web framework on Heroku!

  • Data Collection and Reading | End-to-End Machine Learning Project Tutorial - Part 1
    • Intro
    • Topics to be covered
    • Data Collection and Reading
    • Problem Statement
    • EDA
    • Outro
  • Data Preparation with Sci-kit learn and Pandas | End-to-End ML Project Tutorial - Part 2
  • Training and Fine-Tuning ML Models with Sklearn | End-to-End Machine Learning Project Tutorial - Part 3
  • Deploying a Trained ML model via Flask on Heroku | End-to-End Machine Learning Project Tutorial - Part 4

Link to the Dataset: https://archive.ics.uci.edu/ml/datasets/Auto+MPG

GitHub Repository: https://github.com/dswh/fuel-consumption-end-to-end-ml

My Task CheatSheet: https://towardsdatascience.com/task-cheatsheet-for-almost-every-machine-learning-project-d0946861c6d0

Video on Data Science Portfolio: https://www.youtube.com/watch?v=_ANbV9lVA-M

Book for basics of Machine Learning: http://themlbook.com/wiki/doku.php

Book for Machine Learning Engineering: http://www.mlebook.com/wiki/doku.php

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