Text Classification Algorithms: A Survey
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Updated
Nov 14, 2022 - Python
Text Classification Algorithms: A Survey
🎨 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.
🔥🌟《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!
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
🏆 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 pure quantum knn classifier for a gated quantum computer.
The respository is for Machine learning basiscs.
A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.
Optimising parameters for multiple machine learning algorithms using grid search cv
GTZAN Music Genre Dataset Classification
Content-based Music Genre Classification
Implementation of cost sensitive KNN algorithm described in Qin, et al, 2013
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
knn with cosine similarity (distance)
Perform face recognition in video stream for registered members
A classifier inspired by electrostatics. Works with weighted datasets.
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