kakul15 Goto Github PK

crcs_hackathon

hackathon, the task is to design and develop a comprehensive dashboard for the upcoming new CRCS portal that will streamline the registration process, handle amendments and appeals, and manage annual returns for the registered societies.

customer-churn-prediction

This project aims to predict customer churn using machine learning models. By analyzing customer data and training algorithms, it helps businesses identify customers likely to stop using their product or service, enabling proactive measures to retain valuable customers and enhance overall business success.

dsa-supreme-

Here I will be uploading all the codes and homework solutions that I will be solving in my DSA Journey.

movie-recommendation-system

robustness-explainability

This project aims at finding the explanation and robustness of black box machine learning model so as to see whether the predictions made by them are correct or not.

ser-using-cnn-lstm-and-attention-mechanism

This research combines CNNs and LSTM networks with advanced attention mechanisms to enhance emotion classification accuracy. Using datasets like RAVDESS, CREMA-D, TESS, and SAVEE, our hybrid model outperforms traditional methods, providing better insights and practical applications.

waste-segregation-machine-learning

The Waste Segregation Project is a comprehensive initiative aimed at automating waste classification and segregation into eight distinct categories: paper waste, leaf waste, e-waste, wood waste, plastic bags, and plastic bottles.