50.007 Machine Learning Fall 2020 Design Project
Done By: Nicole Lee Gerald Lim Phang Teng Fone
All our codes are done on Jupyter Notebook. Pandas and Numpy libaries are required to run the codes.
The codes are in Part2/Part2.ipynb Change the different datasets location in the "Pathings" block. The output will be a dev.prediction file.
The codes required for Part 3 is in Part3/Part3.ipynb & Part3/Part3_Preprocess.ipynb. The first step is to run Part3/Part3_Preprocess.ipynb to generate the .csv output file. The next and final step is to run Part3/Part3.ipynb and load the previous .csv output file from the first step and generate the dev.prediction file.
The codes required for Part 4 is in Part4/Part4.ipynb & Part3/Part3_Preprocess.ipynb. The first step is to run Part3/Part3_Preprocess.ipynb to generate the .csv output file. The next and final step is to run Part4/Part4.ipynb and load the previous .csv output file from the first step and generate the best 3rd dev.prediction file.
The codes required for Part 5 is in Part5/Part5.ipynb & Part5/Part5_Preprocess.ipynb. The first step is to run Part5/Part5_Preprocess.ipynb to generate the .csv output file. The next and final step is to run Part5/Part5.ipynb, change the filepaths to the required files and load the previous .csv output file from the first step and generate the dev.prediction file.