This repository implements a Retrieval-Augmented Generation (RAG) approach leveraging advanced Language Models (LLMs). RAG combines the power of pre-trained LLMs with efficient information retrieva…

This project provides Python implementations of various estimators from scratch, without relying on external libraries such as scikit-learn. The purpose of this project is to understand how these m…

A collection of public articles written by me on Medium. The articles cover a variety of topics including Machine Leanring, programming, data science, and more.

A Simple implementation of the Transformer model from scratch

This repository contains an implementation of a Vector Database, a specialized database designed for efficient storage and retrieval of high-dimensional vectors. Ideal for applications such as mach…

The App Rating Prediction is a machine learning project aimed at predicting the rating of mobile applications. This repository contains the code and resources needed to train and deploy a model tha…

Automatic text generation using LSTM networks for generating text similar to a given input

a chatbot that assists users in planning their trips, suggesting destinations, providing information about flights and accommodations, and offering recommendations for activities and attractions. I…

This is a simple Flask API that provides wine variety classification based on their descriptions. The API uses an XGBoost model and an NLTK tokenizer to perform the classification.

This project provides a simple example of building an ETL (Extract, Transform, Load) pipeline using Python and SQL. The pipeline extracts data from a CSV file, applies some transformations to the d…

This EDA repository covers essential topics such as data cleaning, handling missing values, feature engineering, and visualizations.