[ARCHIVED] Deep-Learning-and-Ensemble-Models (2023)

Note: This repository is archived and represents early learning work completed during my internship at Bharath Intern.

Projects

1. Stock Price Prediction:

   • Model: Multi-layer LSTM (Long Short-Term Memory) network built with TensorFlow/Keras.
   • Data: Historical stock data (e.g., Apple, Google) fetched via yfinance.
   • Task: Forecasting future closing prices based on 60-day moving windows.

2. Titanic Survival Classification:

   • Model: Random Forest Classifier.
   • Features: Engineered features from passenger class, sex, age, and fare.
   • Goal: Predict passenger survival on the Titanic test set.

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(Original README content below)

Deep-Learning-and-Ensemble-Models

"🚀 My Data Science Internship Projects: Stock Price Prediction using LSTM & Titanic Survival Classification 📈🛳️"