DSC180B-Capstone-Project

DSC Capstpne Project: A Prediction Model for Battery Remaining Time

Usage Instructions

We provided 4 targets for your usage. They are data, eda, model, and test.

test would run our project on test data, which provides a miniature of what we have done on a smaller dataset.

An exmple for running our project through terminal is python run.py data, which will show our main dataset. To run other branches, just replace data with eda, model ortest.

Description of Contents

PROJECT
├── config
    └── data-params.json
    └── inputs.json
├── notebooks
    └── DSC180B_Presentation.ipynb
├── references
    └── README.md
└── src
    ├── EDA
        └──  feature_selection.py
    ├── data
        ├── Loading_Data.py
        ├── minimini_battery_event2.csv
        ├── minimini_battery_info2.csv
        ├── minimini_device_use1.csv
        ├── minimini_device_use2.csv
        ├── minimini_hw1.csv
        ├── minimini_hw2.csv
        ├── minimini_process1.csv
        └──minimini_process2.csv
    └── model
        └──hypothesis_testing.py
├── .gitignore
├── README.md
└── run.py
└── submission.json

config/

• data-params.json: It contains the file path for our dataset
• inputs.json: It contains the argument inputs

notebooks/

• DSC180B_Code.ipynb: EDA, Hypothesis Testing and Visual Presentation on our project

references/

• README.md: External sources

src/

• EDA/feature_selection.py: code for selecting desired features for our prediction model
• data/Loading_Data.py: code for load our dataset
• data/minimini_[DIFFERENT FILE NAME]_csv: sample dataset
• model/hypothesis_testing.py : code for prediction model and hypothesis testing

run.py

• Main driver for this project.