Text Classification Algorithms: A Survey
-
Updated
Oct 10, 2024 - Python
Text Classification Algorithms: A Survey
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
GTZAN Music Genre Dataset Classification
A pure quantum knn classifier for a gated quantum computer.
python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
The respository is for Machine learning basiscs.
knn with cosine similarity (distance)
Open-source vector database built to embedding similarity search
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Content-based Music Genre Classification
Machine Learning Algorithms
Perform face recognition in video stream for registered members
Implementation of cost sensitive KNN algorithm described in Qin, et al, 2013
Add a description, image, and links to the k-nearest-neighbours topic page so that developers can more easily learn about it.
To associate your repository with the k-nearest-neighbours topic, visit your repo's landing page and select "manage topics."