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Predicted Delhi’s daily climate using Autoregressive Integrated Moving Average (ARIMA), Prophet, and Recurrent Neural Network (RNN) models for time series forecasting.

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Daily-Delhi-Climate-Forecasting-A-Time-Series-Prediction

Final project for Data Mining Course under Prof. Hedieh Sajedi. Modeled Delhi’s daily climate using ARIMA, Prophet, and RNN-based models.

🎯 Objective

Predict climate patterns with sequence-sensitive models

⚙️ Tools & Technologies

Python 3, Keras, TensorFlow, Pandas, NumPy, Matplotlib, sklearn

📊 Results & Reflection

BiGRU achieved R² ≈ 0.9325

Gained experience in time series modeling and regression

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Predicted Delhi’s daily climate using Autoregressive Integrated Moving Average (ARIMA), Prophet, and Recurrent Neural Network (RNN) models for time series forecasting.

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