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📂 All TripleTen Projects

A curated collection of data science projects completed as part of the TripleTen Data Science Bootcamp. Each project demonstrates real-world applications of machine learning, data analysis, and model deployment.

• Telecom Churn Prediction
  Developed a predictive model to identify telecom customers at risk of churn.

• Human Age Prediction (Deep Learning)
  Trained a CNN-based deep learning model to estimate human age from images.

• Oil Well Profitability Prediction
  Built a regression model to forecast oil well profitability for investment decisions.

• Bank Churn Prediction
  Implemented a supervised learning model to predict customer churn for a financial institution.

• SQL + Data Collection Project
  Exploring database management, querying, and data extraction using SQL.

• Video Game Sales Project Article
  What makes a video game a best-seller? EDA and hypothesis testing on what drives success in the gaming industry.

• Streamlit Web App (Coming Soon)
  Deploying an interactive data visualization dashboard with Streamlit.

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Each project contains:

• A detailed README with project objectives, methodology, and results.
• Code for data cleaning, model training, and evaluation.
• Visualizations and insights from exploratory data analysis (EDA).
• Links to live notebooks or additional resources.

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