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