This project implements functions for building an ensemble of classifiers and regressors using the TPOT and auto-sklearn libraries with the help of a genetic algorithm evolved using the deap library.

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

tpot is a simple tool to access teleport web UI from terminal

Threat Intel Platform for T-POTs

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

Web app to demo predicting breast cancer using BMI, Glucose, Insulin, HOMA and Resistin.

Forecast car and traffic accidents depending on weather with machine learning

This project aims to integrate and leverage advanced machine learning techniques, including novelty detection for anomaly identification, supervised learning for Remaining Useful Life prediction, and failure prediction, to create a unified system for predictive maintenance.

program that uses vote data inputted manually from bracketcounter to generate a COBEN list (due to bracketcounter not being 100% accurate). this is a reverse engineer of code made by "teedster" in htwins central

Data science projects

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

🍯 T-Pot - The All In One Honeypot Platform (forked from https://github.com/telekom-security/tpotce) 🐝

Add better insight into the use of AutoML for certain datasets, especially Breast Cancer Wisconsin (Diagnostic). In addition, it is expected to provide an understanding of the weaknesses and shortcomings of the selected use of AutoML, namely the Tree-Based Pipeline Optimization Tool (TPOT) for modeling automation.

This repository contains algorithms based on nature. This would also contain my solutions to some of the labs from the course 'Nature Inspired Computing' offered to Data Science majors at Innopolis University, Tatarstan, Russian Federation.

It's a data science project for classification of Fraudulent and Non-Fraudulent transactions.

Master thesis in cybersecurity at the EMCL Heidelberg University.

The Web Attackmap currently in T-Pot CE is not half bad, but it's really not optimized for running 24/7 on a dashboard monitor etc. This is just that. Scraped, tuned, optimized for running on big screen TV 24/7. Made in NodeJS, supports connecting directly to tpotce-map_redis for fast implementation