This repo contains our solutions to the questions of cses, project erdos, project euler

this repo contains the CP templates i use

This repo contains my solutions for USACO problems, which I have solved

This repository hosts all the dissusions I took on Machine Learning/ Deep Learning and Theoritical Computer Science, and their materials / notes that I used for the demonstration during the lecture.

This repo contains various data analysis, I have done on various kaggle datasets. To most extent this repository is held for personal uses, but anyone interested might refer it for more insights.

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language…

This repo contains all my work on Graph based recommender sytems, GNNs, systems using collaborative filtering and more

Hydrogen production through photo-bioreactor systems offers a promising pathway for sustainable energy generation, utilizing phototrophic microorganisms to convert wastewater into green hydrogen. O…

Here I have done various feature extractions upon audio samples, and this repository also contains all the work I have done in audio analysis. The aim of this repository is to host the methods need…

A complete overview and insights into AI-Text detection 🌱 using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated 🌻 or Human-authored 🚀

Implemented a LightLGM model 💫 capable of predicting the closing price movements for hundreds of NASDAQ listed stocks 🌱 using data from the order book & the closing auction for Optiver's Trading Co…

LyricLoom is an API for hit-song-prediction using inception-CNN for low level feature extraction and DNN for music tag generation. When queried it would return the percentile popularity of the song…

Experimental study on the orientation of _ elongated, oblate spherical, prolate (elongated, cuboidal, cubical) fluidized bed particles _ with the help of OpenCV and Hough Transform

The aim of this project is to foster coding and implementing algorithms from scratch. Here I have implemented various Machine Learning Techniques from scratch and compared how well they perform to …

usage of RNNs and LSTMs architecture for multivarate as well as univariate modelling of panel data and time series data. It helps in predicting the future trends, by analysing window sections of th…

I made a Portfolio Optimiser using Hadamard Gate and Quantum circuits. I used a Qiskit simulator (qasm_simulator) to simulate the circuits of qubits. I also compared the quantum approach with class…

The objective of this project is to develop a Monte Carlo simulation model for portfolio optimization to maximise an investor's max returns off a given investment amount vested among various assets…

Trained CNN models, to predict the health of the vegetables by analysing the leaf photos of various vegetables like potato, tomato and Bell pepper. Used methods like data augmentation, addition of …