This project uses a Recurrent Neural Network (RNN) to predict tomorrow's temperature based on historical weather data. The model is trained on time series data and utilizes deep learning techniques to capture temporal patterns for accurate forecasting.
- Predicts next-day temperature
- Uses RNN/LSTM architecture
- Trained on historical weather time series data
- Built with TensorFlow / Keras
- Visualizations of predictions vs actual data
- Input: Historical daily temperature data
- Layers:
- Recurrent Layer (RNN / LSTM )
- Dense Output Layer
- Loss Function: Mean Squared Error (MSE)
- Optimizer: Adam
##🧾 Requirements Python 3.7+
TensorFlow / Keras
NumPy
Pandas
Matplotlib
Joblib
pip install -r requirements.txt