M.Tech ECE | NIT Delhi | VLSI | Data Science | GenAI | LLM | NLP | Quant  | B.Tech EEE'23, MAIT

github

Sidhanth Garg  • Peerlist

K-Means clustering algorithm is utilized to segment 1.) 1-persons income based on his work hours,job satisfaction etc. 2) to differentiate the type of plant species

K-Means clustering Model

Prediction of Stock prices using OBV, ATR, MACD  And risk management using sharpe ratio and volatility.

Stock Price prediction based on various technical indicators

Taken the Stock price dataset of apple and Nifty 50 and predicted the future price using various state space model.

Time Series Analysis

Logistic-Regression-using-sklearn
Preprocessing the dataset ( dummy variables, scale_transform, etc) to transform the dataest for logistic model and Metric score is analysed for further tuning

Logistic regression using sklearn

Logistic regression is built from scratch using python and Adam booster is used to detect whether the patient has tumor or not based on leukocytes_count & blood pressure

Logistic-Regression-from-scratch-Python

Raptor-based-LLM-Q-A-Chatbot-App-using-hybrid-search

GraphRag-for-Hermes-2.5-Pro-LLM-using-neo4j-database

"This project leverages LLLaMA 3.1 embeddings for Retrieval Augmented Generation, with the embeddings managed within a ChromaDB instance running as a Docker container. The application interface is built using Gradio

LLaMA 3.1 Q-A Chatbot App utilizing RAG

In this project we are Training the VADER (Valence Aware Dictionary and sentiment Reasoner) NLP model and comparing its performance with the pretrained ROBERTa model