jimmytwilson/nba-prediction-app

One week Python project - Learned Python from scratch

Welcome to the NBA Prediction App

My app

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

---

This is what you see when you open the page:

---

You can select a team and start/end years to show data:

---

You can predict the winner of the game by selecting two teams (Home/Away)

---

If you would like to use this app

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

---

My presentation slides

Click here to see the slides I used for my presentation

---

Future improvements

• 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

---

Resourses and tutorials used

• 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)