Framework to evaluate Trajectory Classification Algorithms

A scikit-learn compatible hyperbox-based machine learning library in Python

A tool to support using classification models in low-power and microcontroller-based embedded systems.

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

Neuronal morphology preparation and classification using Machine Learning.

A graphical machine learning program written with tkinter and scikit-learn library.

In simpler words we tell whether a user on Social Networking site after clicking the ad’s displayed on the website,end’s up buying the product or not. This could be really helpful for the company selling the product. Lets say that its a car company which has paid the social networking site(For simplicity we’ll assume its Facebook from now on)to …

Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning

Tabular machine learning simplified!

Easily generate synthetic data for classification tasks using LLMs

Experimental machine learning library that provides readable yet efficient implementations of fundamental ML models, written using NumPy.

Machine learning example code in topics such classification, clustering and recommender systems in different techniques and approaches.

Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation.

Classifying images of fruits and vegetables. Final model has 96.11% accuracy.

COBRA for Classification tasks on Imbalanced Data

Quick image classification model designed to tell the difference between an airplane, boat, or a car that was trained on hundreds of images!

Classification with Feature Selection and Extraction Methods

evaluators for classification models

Audio sample datasets and Tensorflow experiments for AFEC's classifiers

In this project, we embark on an exciting journey to explore and analyze customer churn within the Telecom network service using the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework.