First Project of the Machine Learning course

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├── Code
│   ├── implementations.py
│   ├── proj1_helpers.py
│   ├── proj1_input_manipulation.py
│   ├── proj1_linear_model.py
│   ├── proj1_logistic.py
│   ├── proj1_ridge_regress.py
│   ├── README.md
│   ├── run_grad.ipynb
│   ├── run_least_squares.ipynb
│   ├── run_logistic.ipynb
│   ├── run.py
│   ├── run_regularized_logistic.ipynb
│   ├── run_ridge.ipynb
│   └── run_stochastic_grad.ipynb
├── Data
│   ├── data.zip
│   └── README.md
├── README.md
└── Report.pdf

The code folder contains all the python files as well as all the jupyter notebooks. For more information read the corresponding README.md file in that directory.

The data folder.
It currently contains a single zip data.zip file which includes the test.csv and the train.csv.
Open the zip inside that folder in order to execute the programs
All the programs outputs(the created csvs) are placed in this folder in order for them to be arranged neatly.
For more information read the corresponding README.md file in that directory.

The two page report with an extensive explanation of our work, our thought process, our results and our conclusions.