Configuration Files (GitHub profile related)

This project uses RFM (Recency, Frequency, and Monetary) segmentation to analyze customer behavior and provide insights for targeted marketing campaigns. By classifying customers based on their pur…

This repository contains an HR Policy Query Resolution system using Retrieval-Augmented Generation (RAG). It leverages a 4-bit quantized Mistral-7B-Instruct-v0.2 LLM and JP Morgan Chase’s publicly …

This repository contains a product ID mapping solution using TF-IDF vectorizer for weighted text vectors, Facebook AI Similarity Search (FAISS) for coarse filtering with cosine similarity, and Leve…

This repository holds a compilation of the hands-on exercises from the 'AWS x Udacity's Nanodegree Program'

This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autisti…

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.

The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the…

This project aims at training a CNN-RNN model to predict captions for a given image. The main task is to implement an effective RNN decoder for a CNN encoder.

Applying knowledge of image processing and deep learning to create a convolutional neural network (CNN) for facial keypoints (eyes, mouth, nose, etc.) detection.

Building a conversational bot (chatbot) which can help users discover restaurants across several Indian cities using RASA

Lending Club is a consumer finance company that specializes in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision fo…

Data analysis to identify the best sectors, countries, and a suitable investment type for making investments.

The goal of this project is to build multiple linear regression models for the prediction of car prices.

The goal of this project is to garner data insights using data analytics to purchase houses at a price below their actual value and flip them on at a higher price. This project aims at building an …

In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicato…

NLP: HMMs and Viterbi algorithm for POS tagging

The objective of this project is to recognize hand gestures using state-of-the-art neural networks.

Introduction to Neural Networks (Create a neural network using Numpy)

Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.

The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the g…

Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.