📉 UK Inflation Analytics: A Machine Learning Approach

An analytical deep-dive into UK economic indicators to model and predict inflation trends.

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📖 Overview

Inflation is the silent erosion of purchasing power. This project analyzes historical UK economic data to identify key drivers of inflation (CPI/RPI) and attempts to forecast future trends using regression-based Machine Learning algorithms.

🎯 Key Objectives

• EDA: Uncover correlations between interest rates, GDP, and inflation.
• Modeling: Compare Linear Regression vs. Decision Trees for forecasting.
• Visualization: Plot historical trends to visualize economic volatility.

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🛠️ Tech Stack

• Core: Python, Pandas, NumPy
• Visualization: Matplotlib, Seaborn
• ML: Scikit-Learn (Regression, Random Forest)

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🚀 Usage

git clone [https://github.com/Datamathican/Data-Analyttics-on-UK-inflation-dataset.git](https://github.com/Datamathican/Data-Analyttics-on-UK-inflation-dataset.git)
pip install -r requirements.txt
jupyter notebook