YouTube Monetization Modeler

A professional Streamlit application for analyzing and predicting YouTube ad revenue using Machine Learning.

Features

• Executive Dashboard: High-level KPIs and metrics.
• Exploratory Data Analysis (EDA): Deep dive into your data.
• Revenue Drivers: Identify what correlates with higher revenue.
• ML Revenue Prediction: Predict revenue for new videos.
• Advanced Analytics: Outlier detection and segmentation.

Running Locally

1. Install dependencies:

   pip install -r requirements.txt

2. Run the app:

   streamlit run app.py

Tech Stack

• Python 3.8+
• Streamlit
• Pandas, NumPy
• Scikit-learn
• Plotly, Seaborn, Matplotlib