🚀 CodeAlpha Data Science Internship Portfolio

A collection of end-to-end Machine Learning applications built during the CodeAlpha Data Science Internship.

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📁 Projects Included

This repository contains three full-stack data science applications. Each project is separated into its own directory containing a detailed README, Jupyter notebooks, serialized models, a FastAPI backend, and a React frontend.

1. 🌸 Iris Flower Classification

A complete classification pipeline that predicts the species of an Iris flower.

• Model: RandomForestClassifier (100% Test Accuracy)
• Features: Interactive UI, 3D animated renders, dynamic confidence metrics.

2. 🏎️ Car Price Predictor

A professional-grade ML platform designed to estimate the fair market value of automobiles based on brand, age, horsepower, and mileage.

• Model: RandomForestRegressor (R² ≈ 0.95)
• Features: Live depreciation forecasting, interactive depreciation charts, 3D manufacturer logos.

3. 📊 Sales Predictor

A system designed to forecast product sales based on advertising budgets across TV, Radio, and Newspaper channels.

• Model: RandomForestRegressor (R² ≈ 0.981)
• Features: Real-time feature importance analysis, dynamic budget allocation visualizer.

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📜 Certificates & Documentation

Also included in the root of this repository are the completion certificates and letters of recommendation from the CodeAlpha Data Science Internship program.

Developed by Harsh Sharma