Microsoft Malware Prediction

Download train.csv and test.csv from Kaggle Competition - Microsoft Malware Prediction
Unzip the csv files, put them under the /data folder.
Run pip install -r requirements.txt to install all required python libraries. ( Use Python version 3.6.8)
(Optional) The script 1_check_data.py is to
- generate data summary (missing frequency, value counts for categorical data, etc.), and
- generate plots to visualize data (boxplot for numeric data, histogram for categorical data, etc.)
(Optional) Run the script 2_analyze_data.py to
- perform data analytics, and
- check rationales behind data preprocessing steps in the experiment for next step
Run the script 3_experiment.py to conduct experiment on the prediction task
(Optional) Run the script 4_compare_performance.py to compare performance of all models
Run the script 5_submit.py to predict for the Kaggle test set for submission

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
check		check
data		data
results		results
.gitignore		.gitignore
.python-version		.python-version
1_check_data.py		1_check_data.py
2_analyze_data.py		2_analyze_data.py
3_experiment.py		3_experiment.py
4_compare_performance.py		4_compare_performance.py
5_submit.py		5_submit.py
Assignment 2019.pdf		Assignment 2019.pdf
Project_Report_Group_3.docx		Project_Report_Group_3.docx
README.md		README.md
README.txt		README.txt
preprocess.py		preprocess.py
process_stats.py		process_stats.py
requirements.txt		requirements.txt
setting.py		setting.py
util.py		util.py

anqitu/kaggle-microsoft-malware-prediction