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neeru1207 /AI_Sudoku

Star1k

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

machine-learning gui image-processing cnn sudoku-solver image-segmentation hough-transform cv2 digital-image-processing opencv-python blob-detection knn-classification hough-lines knn-classifier tkinter-gui tkinter-python cnn-tensorflow sudoku-grabber digit-recognition-application hough-line-transform

UpdatedJul 6, 2023
Python

pavankalyan1997 /Machine-learning-without-any-libraries

Star186

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

machine-learning-algorithms jupyter-notebook naive-bayes-classifier artificial-neural-networks k-means-clustering simple-linear-regression knn-classifier multiple-linear-regression

UpdatedFeb 5, 2019
Jupyter Notebook

kennedyCzar /STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Star136

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

pipeline random-forest prediction stock logistic-regression predictive-analysis stocks adaboost predictive-modeling algorithmic-trading decision-tree svm-classifier quadratic-discriminant-analysis parameter-tuning guassian-processes gridsearchcv knn-classifier

UpdatedSep 8, 2022
Jupyter Notebook

thieu1995 /mafese

Star91

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

machine-learning optimization genetic-algorithm feature-selection feature-extraction dimensionality-reduction decision-tree-classifier mutual-information svm-classifier relief-f subset-selection knn-classifier pearson-correlation-coefficient harris-hawks-optimization wrapper-methods

UpdatedJun 3, 2025
Python

ilia10000 /LO-Shot

Star88

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

machine-learning deep-neural-networks deep-learning supervised-learning classification one-shot-learning knn-classifier few-shot-learning

UpdatedJul 21, 2024
Jupyter Notebook

jonghough /jlearn

Star58

Machine Learning Library, written in J

learning machine-learning deep-learning clustering lstm gaussian-mixture-models ensemble-learning rbm convolutional-neural-networks j k-means gaussian-processes principal-component-analysis self-organizing-map multilayer-perceptron-network hierarchical-clustering knn-classifier restricted-boltzmann-machines

UpdatedNov 29, 2023
J

Devtown-India /Yoga-Pose-Estimation-App

Star47

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

flask machine-learning deep-learning p5js pose-estimation nueral-networks knn-classifier posenet ml5js yoga-poses

UpdatedMar 28, 2023
Jupyter Notebook

Moeinh77 /IBM-final-project-Machine-Learning

Star37

Final project of IBM's coursehttps://www.coursera.org/learn/machine-learning-with-python on coursera

python machine-learning scikit-learn coursera logistic-regression ibm decision-trees svm-classifier knn-classifier

UpdatedMar 18, 2024
Jupyter Notebook

kortirso /elixir_learn_kit

Star32

Elixir library for machine learning

machine-learning elixir phoenix linear-regression prediction classification elixir-library knn-classifier gaussian-naive-bayes

UpdatedJan 9, 2019
Elixir

the-mrinal /ML-Notebook

Star26

Karma of Humans is AI

notebook text-classification linear-regression matploblib naive-bayes-classifier pca-analysis logistic-regression gradient-descent confusion-matrix used-cars svm-classifier feature-scaling decision-tree-algorithm numpy-arrays logisticregression gridsearchcv knn-classifier

UpdatedMar 9, 2020
Jupyter Notebook

GroenteLepel /qiskit-quantum-knn

Star23

A pure quantum knn classifier for a gated quantum computer.

quantum-computing k-nearest-neighbours qiskit knn-classifier

UpdatedMar 14, 2025
Python

vzhomeexperiments /FALCON_A

Star22

Expert Advisor based on Falcon Template and kNN trading algorithm

reinforcement-learning artificial-intelligence self-learning udemy-tutorial decision-support-system model-based knn-classifier mt4-ea udemycourse trading-robot

UpdatedMar 10, 2021
MQL4

athiyadeviyani /IGAudit

Star22

#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity

machine-learning social-media random-forest social-network scikit-learn jupyter-notebook logistic-regression decision-trees decision-tree-classifier random-forest-classifier knn-classifier social-media-analysis influencer-discovery audit-instagram-accounts

UpdatedMay 27, 2020
Jupyter Notebook

VenkateshBH99 /Hybrid-Random-Forest-Linear-Model

Star21

Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)

svm logistic-regression hacktoberfest decision-tree-classifier navie-bayes-algorithm random-forest-classifier knn-classifier heart-disease-prediction hybrid-random-forest-linear-model

UpdatedJun 21, 2022
Python

thieu1995 /MHA-FS

Star21

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

machine-learning optimization genetic-algorithm feature-selection feature-extraction dimensionality-reduction feature-engineering lda decision-tree-classifier svm-classifier pso classification-model cnn-classification knn-classifier whale-optimization harris-hawks-optimization equilibrium-optimizer mealpy

UpdatedJun 15, 2023
Python

zikry009 /Diabetes_Prediction_Portal

Star21

Diabetes Prediction is my weekend practice project. In this I used KNN Neighbors Classifier to trained model that is used to predict the positive or negative result. Given set of inputs are BMI(Body Mass Index),BP(Blood Pressure),Glucose Level,Insulin Level based on this features it predict whether you have diabetes or not.

python machine-learning sklearn machinelearning knn-classification diabetes-detection knn-classifier diabetes-prediction pima-indians-diabetes