This repository contains code that can be used to predict stock market based on the Toronto Exchange Stock dataset.
While there are a number of existing example datasets for predicting stock market, based on the quality of the data we decided to use the Toronto Exchange Stock dataset, we wanted to see if we could produce an accurate prediction on this dataset.
Created for Agile Project Management for Machine Learning at George Brown College.
To submit changes to this repo, please do the following steps:
git checkout maingit pull maingit checkout -b <your_branch_name>(create a branch name based on the changes you want to make)- Make your changes
- Before committing your file, please reset your runtime to get rid of the runtime numbers (IE the numbers between the square brackets beside each cell). The option should be under runtime -> restart runtime, or something like that.
- Save your file - both the .ipynb and the .py
git add .git commit -m "Your commit message here"- please write a short but descriptive message!git push origin <your_branch_name>- Open a Pull Request (PR) in Github, attempting to merge your branch into main, and request reviews from the group
- When you have approvals, merge your pull request
- Michael McAllister - 101359469
- Eduardo Bastos de Moraes - 101345799
- Aleksandr Semenov - 101364351
- Ziyad El Amrani-Joutey - 101366815
- Saurav Kundlas - 101393134