A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Collection of stats, modeling, and data science tools in Python and R.

Code and Resources for "Applied Machine Learning"

Telegram Data Clustering contest solution by Mindful Squirrel

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Learning with Signatures

End to End Autopilot Perception Playbook

detecting phishing websites using machine learning

ugtm: a Python package for Generative Topographic Mapping

Second Project of the Udacity Self-Driving Car Nanodegree Program

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

Modern Türk edebiyatı sınırları içerisinde yer alan dönemleri, eğilimleri, şairleri ve zaman dilimlerini sınıflandıran doğal dil işleme uygulaması.

📈 Machine Learning from the perspective of a Statistician using R

Gitbook version: https://pr0x2b.github.io/masters_thesis_on_global_terrorism/

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

It is a Flask Application to predict a person covid positive/negetive based on chest x ray of a person.This Machine Learning Web Application utilizes a Two-Layered Convolutional Neural Network to process the chest-x-ray Images and predict if they are corona positive/negetive accuracy of nearly 81%.

A DataCamp course for the University of Helsinki

Explore the use of DSPy for extracting features from PDFs 🔎

An autoML for explainable text classification.