Hello Basketball loving people!
This app is for those who are interested in my week of learning Python and Machine Learning.
I made this as a Student at Code Chrysalis during polyglotal week (week where we learn a new language from scratch)
You can check out the deloyed app on Heroku
Here's how:
- Fork and clone this repository
- Open this with your code editor of choice
- Activate your Python Environment (I used Anaconda), and make sure the libraries are installed properly on your chosen Environment
Click here to see the slides I used for my presentation
- As this was my first time with Python, the Machine Learning predictability is not at a high accuracy percentage. I would like to increase this accuracy
- Add more features and inputs so you can see all the data and it is very customizable
- Deploy this app. Potentially using a service such as Heroku
- Tutorial for Streamlit (https://www.youtube.com/watch?v=ZZ4B0QUHuNc)
- Pandas datasets for NBA data (https://realpython.com/pandas-python-explore-dataset/)
- Machine learning tutorial (https://www.youtube.com/watch?v=oLlN5SYZr5g)
(https://machinelearningmastery.com/make-predictions-scikit-learn/)
(https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html)
(https://www.youtube.com/watch?v=fwY9Qv96DJY)