Yadukrishnan1
Data Scientist/MLE at Octavian Solutions | Ph.D. in Physics from UT Knoxville and Oak Ridge National Laboratory
Tula Health | UT Knoxville | ORNLSan Francisco Bay Area
Pinned Repositories
Color-Compression-Unsupervised-ML
Color image compression using unsupervised Machine Learning algorithms. In this project, functions are defined to compress the images using k-means, winner takes all and Kohonen maps.
Customer-Churn-Analysis
In this project, the growth team at Y aimed to understand why users withdraw money from their Y accounts and identify which users are likely to churn. By analyzing the provided datasets, we built and evaluated a classifier to predict user churn, ultimately classifying each user in the dataset based on their likelihood to leave.
Diabetes-Prediction
Developed a ML algorithm to predict/classify an unknown dataset containing the collected details of women under 21 of Pima Indian heritage, living near Phoenix, Arizona. The training data is collected from Ripley's Pattern Recognition and Neural Networks website.
Loan-Application-Prediction
The dataset includes application data for every customer that has been given a loan in a 6 month period. The other contains every loan that has been given in this time and whether it has been a good loan or a bad loan. Use the data to identify which new applicants should be given a loan in the future.
MonteCarloMarkovChain
This Toy project aims to use MCMC methods to estimate the parameters of a Bayesian model and make inferences about the relationships between variables.
Perceptron
Perceptron is a supervised machine learning approach using binary classifiers. Here, we try to create an algorithm to create a Perceptron using Gradient Descent approach. Simple logic gate data will be used to test the accuracy of the perceptron.
RAGFeynman
RAGFeynman is a question-answering assistant that leverages Retrieval-Augmented Generation (RAG) with large language models (LLMs) like Gemma or TinyLlama. This application uses a variety of tools and libraries to provide accurate and efficient answers to user queries.
stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
Streamlit
This is a Streamlit-based web application that allows users to predict the species of an Iris flower based on its sepal length, sepal width, petal length, and petal width. The app uses a pre-trained machine learning model to make the predictions.
Supervised-Machine-Learning-on-Normalized-Data
Some supervised machine learning algorithms are created from basic principles to study and classify a normalized synthetic data from Pattern Recognition and Neural Networks by b. D. Ripley (https://www.stats.ox.ac.uk/pub/PRNN/)
Yadukrishnan1's Repositories
Yadukrishnan1/Color-Compression-Unsupervised-ML
Color image compression using unsupervised Machine Learning algorithms. In this project, functions are defined to compress the images using k-means, winner takes all and Kohonen maps.
Yadukrishnan1/stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
Yadukrishnan1/airflow-tutorial
Apache Airflow tutorial
Yadukrishnan1/Customer-Churn-Analysis
In this project, the growth team at Y aimed to understand why users withdraw money from their Y accounts and identify which users are likely to churn. By analyzing the provided datasets, we built and evaluated a classifier to predict user churn, ultimately classifying each user in the dataset based on their likelihood to leave.
Yadukrishnan1/Fellow-Placement
Yadukrishnan1/Fraud-Detection
Yadukrishnan1/Loan-Application-Prediction
The dataset includes application data for every customer that has been given a loan in a 6 month period. The other contains every loan that has been given in this time and whether it has been a good loan or a bad loan. Use the data to identify which new applicants should be given a loan in the future.
Yadukrishnan1/MonteCarloMarkovChain
This Toy project aims to use MCMC methods to estimate the parameters of a Bayesian model and make inferences about the relationships between variables.
Yadukrishnan1/RAGFeynman
RAGFeynman is a question-answering assistant that leverages Retrieval-Augmented Generation (RAG) with large language models (LLMs) like Gemma or TinyLlama. This application uses a variety of tools and libraries to provide accurate and efficient answers to user queries.
Yadukrishnan1/Recommender-Systems
Yadukrishnan1/Streamlit
This is a Streamlit-based web application that allows users to predict the species of an Iris flower based on its sepal length, sepal width, petal length, and petal width. The app uses a pre-trained machine learning model to make the predictions.
Yadukrishnan1/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
Yadukrishnan1/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Yadukrishnan1/APS2020Tutorial
Tutorial on image analysis with deep / machine learning for APS-2020 meeting in Denver
Yadukrishnan1/attention_keras
Keras Layer implementation of Attention
Yadukrishnan1/first-contributions
🚀✨ Help beginners to contribute to open source projects
Yadukrishnan1/Graph-Enumeration
This is a code to enumerate the number of graphs from a liquid system model.
Yadukrishnan1/Kaggle-comps
Yadukrishnan1/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
Yadukrishnan1/ludwig
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
Yadukrishnan1/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
Yadukrishnan1/ML_models
Yadukrishnan1/mlframework
Yadukrishnan1/Mobilephone-Price-Prediction
Supervised and unsupervised ML algorithms for classifying mobile phones based their features to 4 different categories based their market prices.
Yadukrishnan1/Molecular-Dynamics-Postprocessing
Scripts for post-processing the output files from Molecular Dynamics simulations (Classical & Ab-initio MD)
Yadukrishnan1/sports-segementation
computer vision and sports
Yadukrishnan1/Time-Series
Yadukrishnan1/WaylonWalker
Learning in public
Yadukrishnan1/Yadukrishnan1
Yadukrishnan1/Yadukrishnan1.github.io
My personal website