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1. RNN-text-generation RNN-text-generation Public

   Shakespeare text generation using Recurrent Neural Networks (RNNs) with LSTM layers. Trained on Shakespeare’s works for 30 epochs to generate text in his style. The model learns character sequences…

   Jupyter Notebook

2. GRU-sequence-prediction GRU-sequence-prediction Public

   This project implements a GRU-based sequence prediction model to forecast the number of air passengers using the famous AirPassengers dataset. The model predicts future values based on historical d…

   Jupyter Notebook

3. customer-churn-prediction customer-churn-prediction Public

   This project predicts customer churn using a Random Forest model, leveraging the Telco Customer Churn dataset. It identifies key factors influencing churn, such as total charges, monthly charges, a…

   Jupyter Notebook

4. ARIMA-predective-analysis ARIMA-predective-analysis Public

   This project utilizes the ARIMA model for time series forecasting on airline passenger data. By analyzing historical monthly passenger counts, we explore the underlying trends and seasonality. The …

   Jupyter Notebook

5. U-net-image-segmentation U-net-image-segmentation Public

   This project implements an image segmentation system using a U-Net architecture in TensorFlow. The model is designed to classify and segment objects within images, facilitating various applications…

   Jupyter Notebook

6. Object-detection-YOLOv3 Object-detection-YOLOv3 Public

   The YOLOv3 object detector uses a pre-trained model to detect multiple objects in real-time from images or videos. It processes each frame by dividing it into grids and predicts bounding boxes and …

   Python