Insurance Risk Analysis Project

Welcome to the Insurance Risk Analysis Project! This repository contains analyses aimed at optimizing marketing strategies for AlphaCare Insurance Solutions by examining historical car insurance claim data.

Project Overview

The goal of this project is to perform comprehensive data analysis, including exploratory data analysis (EDA), hypothesis testing, machine learning modeling, and more. Each task is organized into separate branches for clarity and better management of changes.

Branches Overview

• task-1-eda-visualization:

  • Exploratory Data Analysis (EDA)
    • Data summarization and descriptive statistics
    • Data quality assessment and missing values check
    • Univariate and bivariate analyses
    • Visualizations capturing key insights

• task-2-dvc-setup:

  • Data Version Control (DVC)
    • Implementation of DVC for dataset tracking
    • Setting up local storage and managing data versions

• task-3-ab-hypothesis-testing:

  • A/B Hypothesis Testing
    • Testing hypotheses regarding risk differences across various demographics
    • Statistical analysis and reporting of results

• task-4-statistical-modeling:

  • Statistical Modeling
    • Preparing data for modeling and handling missing values
    • Building and evaluating multiple models (Linear Regression, Random Forests, XGBoost)
    • Analyzing feature importance and model performance

Getting Started

To explore the project:

1. Clone this repository:

   git clone https://github.com/AschalewMathewosDamtew/insurance-risk-analysis.git

2. Navigate into the cloned repository:

   cd insurance-risk-analysis

3. Checkout the desired branch (replace {branch-name} with the actual branch name, like task-1-eda-visualization, etc.):

   git checkout {branch-name}