added my ipynb file for the gpa prediction project

[ayoni02]

I created a notebook for the gpa_predictions project.
Instead of using the sk-learn regression model, I used tensorflow-keras deeplearning to create my model.

I am going to start working on the image scraping tool now, sorry about that

[ayoni02]

I've created the notebook now @Sammybams. I moved it to my personal project folder since I don't think it should be on its own.
I can move it back up if you want. readme file would have to come later on.

[Sammybams]

Thank you very much again @ayoni02. Your contributions have been really helpful. Putting it under your own work folder was what we actually meant and you've done the right thing.

Your contribution to a choice of model for Project 3 is also appreciated. However, we would like to recommend using a deep learning architecture for a problem that might not have so many data points (for example, maybe hundreds of thousands of data points) would be overkill. There would most likely be overfitting on the dataset and that would not give good results in production, especially as it is a kind of projection based on certain patterns.

So a traditional machine learning model would work well and do justice (like XGBoost, Random Forest, etc.).