This repository is an attempt to build a **Mixture of Experts (MoE) Large Language Model** entirely from scratch using PyTorch.

The objective of this project is to classify user intents into seven predefined categories: creative, music, playlist, restaurant, screening, rate_book, and weather.

CSV-AI is a modular and extensible Python-based application that enables natural language question answering over CSV files using Retrieval-Augmented Generation (RAG) techniques. It leverages moder…

This project uses a LangChain-powered agent that finds a person's LinkedIn profile URL by searching Google using their full name.

This project is about predicting customer churn in the telecommunications industry using machine learning techniques

This project performs Sentiment Analysis on Amazon reviews using Natural Language Processing (NLP) and Deep Learning techniques. A LSTM-based model is trained to classify reviews as positive or neg…

This repository provides a Python-based word transformer tool for processing and manipulating text data. Especially for auto correction.

This project is a machine learning-based solution to predict store sales over time using time series data. The model is built using XGBoost and is containerized with Docker for easy deployment.

This project implements a Long Short-Term Memory (LSTM) neural network to predict stock closing prices based on historical data. The dataset used is the NSE-Tata-Global-Beverages-Limited stock data.

This project implements time series forecasting using LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) neural networks. The model predicts temperature data from the Jena Climate dataset.

Kaggle Dataset Churn Prediction Model with Random Forest, XGBoost, and Other ML Algorithms

This project applies machine learning techniques to predict the survival of Titanic passengers based on different features such as age, sex, ticket class, and family size. The main model used is a …

This project aims to predict the sale prices of houses based on various features such as lot size, location, year built, and other characteristics

A simple implementation of Linear Regression using Python.

Binary guessing game with assembly language.

A simulation game about tower of hanoi problem.

A java game with the properties of 2048 and tetris game.