Yadu Krishnan Sarathchandran, Ph.D.'s 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.
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.
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.
stock-trading-ml
A stock trading bot that uses machine learning to make price 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/)
airflow-tutorial
Apache Airflow tutorial
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
APS2020Tutorial
Tutorial on image analysis with deep / machine learning for APS-2020 meeting in Denver
attention_keras
Keras Layer implementation of Attention
first-contributions
🚀✨ Help beginners to contribute to open source projects
Graph-Enumeration
This is a code to enumerate the number of graphs from a liquid system model.
hello-world
This is my first code in GitHub.
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.
ludwig
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
Mobilephone-Price-Prediction
Supervised and unsupervised ML algorithms for classifying mobile phones based their features to 4 different categories based their market prices.
Molecular-Dynamics-Postprocessing
Scripts for post-processing the output files from Molecular Dynamics simulations (Classical & Ab-initio MD)
Time-Series-and-Financial
Time series and Financial analysis in python
WaylonWalker
Learning in public