Stock Prediction Challenge by @Sirajology on Youtube.
This is the code for the Stock Price Prediction challenge for 'Learn Python for Data Science #3' by @Sirajology on YouTube. The code uses the scikit-learn machine learning library to train a support vector regression on a stock price dataset from Google Finance to predict a future price. In the video, I use scikit-learn to build an ML model, but for the challenge you'll use the Keras library.
There are two scripts. demo.py
is the code in the video and challenge.py
is a template for the coding challenge you will complete.
Install missing dependencies using pip
Once you have your dependencies installed via pip, run the demo script in terminal via
python demo.py
You'll find the challenge template in this repo labeled challenge.py
. The instructions are
If you want to use your own template, that's fine too. Submit your code in the comments section and I'll announce the winner in the next video. Good luck!
This code is 100% Siraj