A package that makes it trivial to create and evaluate machine learning pipeline architectures.
-
Updated
Jun 7, 2024 - HTML
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"
R package to interface with OpenML
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.
End to End Autopilot Perception Playbook
Learning with Signatures
ugtm: a Python package for Generative Topographic Mapping
detecting phishing websites using machine learning
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%.
Explore the use of DSPy for extracting features from PDFs 🔎
A DataCamp course for the University of Helsinki
Add a description, image, and links to the classification topic page so that developers can more easily learn about it.
To associate your repository with the classification topic, visit your repo's landing page and select "manage topics."