Data Science Projects 🚀

This repository contains a collection of Data Science Projects in Python, Jupyter, ML, and DL.
Each folder is an independent project with its own code, datasets, and documentation.

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📂 Project List

🔹 Project 1: Titanic Survival Prediction

• Tech stack: Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
• Description: A machine learning project that predicts whether a passenger survived the Titanic disaster using classification models.
• Highlights: Data cleaning, feature engineering, exploratory data analysis (EDA), and multiple ML models (Logistic Regression, Decision Tree, Random Forest, etc.)

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🔹 Project 2: Real-Time Object Detection

• Tech stack: Python, OpenCV, TensorFlow/Keras, Pre-trained Models (MobileNet/YOLO)
• Description: A deep learning project that detects and classifies objects in real-time using a webcam feed.
• Highlights:
  • Uses transfer learning with pre-trained models for faster training
  • Real-time object detection using OpenCV
  • Supports multiple object categories
  • Practical deployment-oriented workflow

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🛠 How to Run

1. Clone this repository:

   git clone https://github.com/gabhaleshashank/Data-Science-Projects.git
   cd Data-Science-Projects