This is our Final year's project in Management of Operations and Production. This repository was created especially for this project.
In the project, we were supposed to submit only a pdf file (write up) and code (.ipynb jupyter notebooks)
However, This information is not enough, and we wanted to save more information in one centralized place.
Main folder - In here you will find the pdf for writeup assignment, as well as an editable doc file, .ipynb file (which encorporates all models into 1 file) and 1 .html file (replicate
.ipynb in html format).
Variables - In this folder you will find all the relevant information regarding the variables after manipulation and standardization for each model.
Data - This is the data source for the project, taken from Kaggle. We also included the questions after
cross-referncing them and refining them with the relevant fields.
Evaluations - This folder contains the evaluation of the models, in our case - confusion matrices.
Please note that we used various AI models to achieve the best result in writing code, standardizing variables and evaluating results, and based on university code we hereby put a disclaimer.
However, most of the work is authentic and we bring what we learned in class to practice in this final project.
We did not see much of a reason to use pdf in most analysis, evaluations and future work.
The main reason was, since we have too many pictures and text - we cannot compress these to a 6-page pdf.
Another reason might be, looking at the code and the pictures is more prolific in our opinion than writing it down in pdf.