Crimes Against Women - Insights from the Apache Team

View model live here: https://share.streamlit.io/tomisile/crime-against-women-pp22-c623-apache-team/apache_app.py

📜 Description

Analysis of 7 different crimes commited against women in India over the span of 15 years (2001 to 2014). Also contains a machine learning model which predicts the number of crimes that could occur in select states in the future.

Photo by M. on Unsplash

Files:

This repository contains 7 different files:

• crimes_against_women_2001-2014.csv : Dataset csv file
• datacleaning.ipynb : Python code used to clean the data
• EDA.ipynb : Exploratory Data Analysis carried out on the dataset after cleaning
• PPT.pptx : Powerpoint slides for presentation (created using Google slides)
• ARTICLE.docx : Published article
• MTT.ipynb : Dedicated juypter notebook file for model training.
• apache_app.py : Deployed streamlit app

📓 Dataset

Task: Regression/Time-Series

Data Type: Multivariate

File Type: .csv

Attributes: 10

Instances: 10677

11 Columns:

• #️⃣ Integer - 7
• 🔤 String - 2
• #️⃣ Date/Time - 1

🧰 Technologies used

• Streamlit
• Google colab
• Google docs
• Pandas
• Numpy
• Matplotlib
• Scikit-learn
• Python
• Seaborn

🔗Links

Exploratory Data Analysis Notebook on Google colab: https://colab.research.google.com/drive/1Jgsnj-gy3iwxAyWcHG1ihD5CWi_pVtu1?usp=sharing

Model Training Notebook on Google colab: https://colab.research.google.com/drive/19UKtDU2wMZf7Fm3fCLBa-f1aBtD_wmPl?usp=sharing

Powerpoint Slides on Google Slides: https://docs.google.com/presentation/d/13_FM56MqOE-nINftVYhIZ7YSQB6A8SRqKolrPJrZvOs/edit?usp=sharing

Article on Google Docs: https://docs.google.com/document/d/1UGTqcHn-wHky0Ea8o9-rXRZ969yqMUjIJFWAnEwMfC4/edit?usp=sharing

Streamlit app (deployed model): https://share.streamlit.io/tomisile/crime-against-women-pp22-c623-apache-team/apache_app.py