#K-nearest-neighbours

Showing 11 of 11 repositories tagged #k-nearest-neighbours, ranked by stars

zotroneneis
zotroneneis
machine_learning_basics

Plain python implementations of basic machine learning algorithms

Score
0
β˜… 4.4k β‘‚ 835 +1/day
Jupyter Notebook
tirthajyoti
tirthajyoti
Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Score
100
β˜… 3.3k β‘‚ 1.8k +1/day
Jupyter Notebook
kk7nc
kk7nc
Text_Classification

Text Classification Algorithms: A Survey

Score
100
β˜… 1.8k β‘‚ 541 β€”
Python
ahmetozlu
ahmetozlu
color_recognition

:art: 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.

Score
83
β˜… 342 β‘‚ 117 β€”
Python
psaris
psaris
funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Score
50
β˜… 141 β‘‚ 56 β€”
q
microsoft
microsoft
art

Exploring the connections between artworks with deep "Visual Analogies"

Score
0
β˜… 100 β‘‚ 17 +1/day
TypeScript
lettier
lettier
interactiveknn

Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

Score
50
β˜… 83 β‘‚ 6 β€”
JavaScript
lucaslattari
lucaslattari
MachineLearningSeries

VΓ­deos e cΓ³digos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Score
67
β˜… 43 β‘‚ 45 β€”
Jupyter Notebook
SebastianRokholt
SebastianRokholt
Hybrid-Recommender-System

A repository for a machine learning project about developing a hybrid movie recommender system.

Score
33
β˜… 42 β‘‚ 15 β€”
Jupyter Notebook
kitestring
kitestring
DataQuest

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

Score
17
β˜… 29 β‘‚ 15 β€”
Jupyter Notebook
NhanPhamThanh-IT
NhanPhamThanh-IT
K-Nearest-Neighbors-Tutorial

πŸ“˜ This repository offers a complete K-Nearest Neighbors (KNN) tutorial, guiding you from core theory to hands-on practice. Learn to implement KNN from scratch with NumPy, apply it using scikit-learn, and explore visualizations, datasets, and Jupyter notebooks to fully understand, test, and optimize the algorithm.

Score
0
β˜… 16 β‘‚ 0 β€”
Jupyter Notebook
Related Topics
#machine-learning#data-science#linear-regression#logistic-regression#machine-learning-algorithms#python#classification#neural-network#decision-trees#deep-learning#matplotlib#numpy

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