🦄 Unicorn Companies Analysis

📌 Project Overview

This project analyzes global unicorn companies using Python.

📊 Key Analyses Performed

• Country-wise unicorn distribution
• Industry-wise analysis
• Valuation distribution (Histogram)
• Year-wise unicorn growth trend
• Top 10 highest valuation companies
• Country-wise average valuation

🛠️ Tools Used

• Python
• Pandas
• Matplotlib
• Git & GitHub

📈 Key Insights

• United States has the highest number of unicorn companies.
• Majority of unicorn valuations are between $1B–$10B.
• Significant growth observed after 2018.

📂 Project Structure

📦 unicorn-project ┣ 📂 data ┃ ┗ 📄 unicorn_data.csv ┣ 📂 outputs ┃ ┗ 📊 top_countries.png ┣ 📄 analysis.py ┣ 📄 requirements.txt ┣ 📄 README.md ┗ 📄 .gitignore

📊 Exploratory Data Analysis (EDA)

✔ Country-wise Unicorn Distribution
✔ Industry-wise Breakdown
✔ Valuation Distribution (Histogram & Log Scale)
✔ Year-wise Growth Trend
✔ Top 10 Highest Valuation Companies
✔ Country-wise Average Valuation
✔ City-wise Unicorn Concentration
✔ Industry Average Valuation
✔ Outlier Detection using IQR
✔ Gini Coefficient (Valuation Inequality)

🤖 Machine Learning Models

• Linear Regression (R² Evaluation)
• Random Forest Regressor (R² & RMSE)
• K-Means Clustering (Valuation Segmentation)
• PCA (Dimensionality Reduction)

🔮 Time Series Forecasting

• Exponential Smoothing Model
• 5-Year Unicorn Growth Forecast

📊 Visual Outputs

🌍 Top Countries

💰 Valuation Distribution

🏭 Industry Distribution

📈 Growth Trend