Mr-MH0001/am-algorithm

# am-algorithmA fast and accurate Rust utility for matching anime titles against messy inputs. This tool supports multiple languages and offers various matching strategies to ensure precision in identifying shows. 🦀✨

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aryanparmarr/Credit-Card-Fraud-Detection

Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.

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sylvaincom/C-for-data-science

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

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hillalhar/customer-segmentation

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Preethi2805/Customer-Churn

This project focuses on predicting customer churn for a telecommunications company using machine learning models. The dataset contains various features such as customer demographics, service usage, and billing information, which are used to predict whether a customer will churn (leave the service).

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Niteshchawla/Movie-Recommender-System

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

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rynanda/Regression-Classification-DeepNets

Regression analysing socio-economic data, multi-class classification of land types from spectral data, and training and adapting deep networks using the Street View House Numbers dataset.

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thenomaniqbal/Diabetes-prediction

In this project, we try to predict whether someone is diabetic or not by using data mining techniques and approaches more accurately by combining the results of various machine learning (ML) techniques particularly K-Nearest Neighbors (KNN).

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rehan-ankalgi-7t2/AI-ML-lab-programs

(VTU) aritficial Intelligence and machine learning practical programs and algorithms

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AYSE-DUMAN/KNN-Algorithm-Implementation-and-Applications

K Nearest Neighbors algorithm in Python and some applications

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Rcode879/Handwritten-digit-detector

A school machine learning project based on the Knearest neighbours model

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KomangAndika/MLModel

This is my list of machine learning model, simple implementation nothing too advance. Happy learning

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AnnettaQi/Recommendation-system-for-movies-using-ML-methods

Collaborative filtering algorithm to recommend movies to users

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owenm-26/springbreakr

A simplified and gamified way for college students to plan their trips

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ChiragVaghela10/digit_recognition

Language: Python - Size: 234 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Abhinav330/ML-implementation-on-Classified-data

This repository implements a K-Nearest Neighbors (KNN) model in Python for predicting loan defaults. It analyzes the KNN_Project_Data dataset (features & binary target 'TARGET CLASS').

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ROHILLA-PR/Python-Machine-learning-project-

Analyzing the healthcare data and generating insights, along with it predicting whether a person is a smoker/drinker or not.

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garvitjain-02/admission-prediction-model

This repository shows ML Model to predict the Admission chances of a student based on some given features. The model is build using the best algorithm out of 4 popular Machine learning algorithms and the best was KNN Algorithm with an accuracy of ~95%. The dataset includes 7 key features for prediction such as GRE Score , University rating, etc.

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arindrajitpatra/Bank_Loan_Approval_Prediction

Predict a customer is eligible for bank loan or not

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KunalRRathod/Placement-Predictor

A web application that is using machine learning technology to deliver results ensuring the students are getting placed in campus placements

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amitjoshi9627/ScratchingML

Machine Learning algorithms from scratch

Language: Python - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

sasomoto/ML-Fault-Analysis-Algorithm-Comparision

This contains the code that I wrote while working on a personal project which was about a comparative analysis of K Nearest Neighbours and Random Forest algorithms by variation of parameters

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ozlemkorpe/Machine-Learning-with-MATLAB

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

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nikopetr/R-Star-Tree

Java Implementation of the R* Tree

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SarveshChandra/Machine-Learning-and-Artificial-Intelligence-Case-Studies

AIML Projects

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Saba-Gul/Comparative-Study-of-Predicting-Students-Adaptability-Level-in-Online-Education

Comparative Study of KNN and Decision Tree Models for Predicting Students' Adaptability Level in Online Education

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Rajat-dhyani/charity_donors

In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

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tranhlok/k-nearest-neighbors 📦

Python code for k-nearest neighbors algorithm.

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FG-ABC/CC-Fraud-Detection

Convolutional Neural Network and K-Nearest Neighbor models designed to detect fraudulent Credit Card Transactions

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enesozi/ML-course-HW3

Implementation of Mixture of Gaussians and K-NN

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nandukalidindi/SupervisedLearning

A collection of Supervised Machine Learning algorithms in Ruby

Language: Ruby - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

punyajoy/K-nearest-neighbor-algorithm-modification

tried modifications of this algorithm in new domains

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tagoreji/Movie-Ratings-Prediction-using-ML

Prediction of Movie ratings using ML Models

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manjunath-satyamurthy/knn

A simple implementation of kNN / k nearest neighbour classification algorithm for demonstration purposes only.

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umangrmehta/image-orientation-classifier

Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm

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dubeyynishant/Heart-Disease-Prediction

Heart Disease Risk Prediction using various ML Algorithms and comparing their accuracies

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mudraverma65/HarmonizingHearts

Harmonizing Hearts: A Music-Based Compatibility Analysis

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TiannaLopes/HockeyScore

Machine Learning with Sports

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rkumar70900/Machine_Learning

Machine Learning Course Assignment Solutions.

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divyanshsr/Music-Mood-Visualizer-using-Pipelines

In this project, we aim to visualize how different parameters of music affects a user's mood and we aim to determine the general mood associated with a given song. We have used multiple pipelines and algorithms to predict the parameters and their correlations.

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ayushtiwari134/apparel_recommender_dl

This project utilizes transfer learning with TensorFlow's ResNet50 model to build an apparel recommendation system. The system scans images and displays the five closest items from the dataset on a Streamlit-based webpage.

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Shipra-09/ML-Project-KNN-Classification

This Github repository contains projects related to KNN classification. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase and Bangalore house price).

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sharmapratik88/AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

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Sharifah-Malhan/Titanic-MLproject

in this project i worked on the famous Titanic dataset, from cleaning the data to analyzing it and training the model [with KNN algorithm] to evaluating it.

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MacAindreis/Credit-card-Fraud-Detection

This is a mini Project on Credit Card Fraud Detection Web App. Using four Learning Algorithms

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NikhilSKashyap/11-Projects-to-DataScience

In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.

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hernanrazo/scikit-learn-classifier 📦

A classifier that uses the scikit-learn library to predict whether the given measurements belong to a polar bear or a gray wolf.

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Zabuzard/Closy

Closy is a library that provides fast and generic solutions for nearest neighbor search (NNS)

Language: Java - Size: 61.5 KB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

chkrr00k/IshiVision

Computer Vision Based System to read the numbers in an Ishihara Plate test

Language: Python - Size: 4.37 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 3

frank-ezenwanne/SN-Bootcamp-projects

Some data science projects completed during my six months data science with Scholar Nurture.

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srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

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S-Oktay-Bicici/Machine-Learning

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi

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Alli3d/knn_iris 📦

K Nearest Neighbours algorithm for iris dataset

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savinay/Machine-Learning-Projects

Projects for my Machine Learning class on kNN, SVM, PCA, CNN and Decision Trees

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madandahal/Bike-Sharing

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sthsuyash/django-ibm

data science projects

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Jurian/nearest.neighbour

Using the K-Nearest Neighbor (KNN) model to interpolate non-overlapping datasets in time and space

Language: R - Size: 3.16 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

st3v3nmw/knowledge-discovery 📦

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lijesh010/ML_Project-Iris_Data_Species_Classification_Algorithms

This repository contains a machine learning project focused on the classification of Iris flower species using different Classification algorithms.

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Gopinathalpha7/Machin-Learning_Notes

[ Simple steps to learn Machine learning models ]

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abideen-olawuwo/loan

A loan prediction modes

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Anjali-DA/Introduction-of-Machine-Learning

🏵️Getting started with Machine Learning🤖| ML algorithms📔| skitlearn| Prediction of new datasets from Kaggle📉

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SarCode/ML-Code-Tutorials-Udemy

Complete Tutorial Guide with Code for learning ML

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sohailahmedkhan/Phishing-Websites-Classification-using-Deep-Learning

A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality reduction techniques are used for comparison.

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ms-daniel/II-Projeto-IA

Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.

Language: Python - Size: 90.8 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

zeynepozisil/Potability-of-Water

Machine Learning Project

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simranfarrukh/sentimentanalysis

Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer

Language: Python - Size: 328 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sahith/MachineLearning

MachineLearning

Language: Python - Size: 7.15 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

ravitejaCR7/Machine-Learning

Language: Python - Size: 186 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1

alfianandinugraha/knn-iris

Simple algorithm K-Nearest Neighbors with Python and Sklearn

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mehmethalis/guess-music-genre

It's a machine learning model which guess genre of music

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HarshMathur86/Diabetes-classification-KNNs-algorithm

A machnie learning model designed to predict the whether a patient will be diagnosed by diabetes or not by analyzing his/her past medical records

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grvnair/knn-from-scratch

Created a Python program for K Nearest Neighbor Algorithm implementation from scratch. Determined the Euclidean distance between the data points to classify a new data point as per the maximum number of nearest neighbors. Implemented the algorithm on sklearn’s IRIS dataset which achieved an accuracy of 95.56%.

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Sachin-D-N/Amazon_Food_Reviews

In this repository, I am practiced and implemented various machine learning algorithms using the real-world dataset amazon food reviews from Kaggle.

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fazeelkhalid/artificial-intelligence-real-life-problem-and-solutions

All solved lab of FAST NUCES Lahore campus _ 2022 Spring

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Farooq-azam-khan/DeepLearning-MachineLearning 📦

A repository that contains multiple machine learning and deep learning algorithms.

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JohanyCarmona/Python-MachineLearning-CustomerLoanPrediction 📦

Implementation to generate a model to predict the reliability of a loan to a customer using Statistical and Machine Learning classification techniques with Python, such as K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine (SVM) and Logistic Regression. The bests weight parameters will be found according influence of Customer Loan Phenomenon.

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11dome11/K-Nearest-Neighbors-and-Radius-Neighbors-Implementation

Application of my own KNN and RN algorithms (weighted or not) on iris dataset

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adotg/knn-what-how-why

What is knn? How is knn done? Why is knn needed?

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alyswidan/FaceRecognition Fork of mohamedmahmoud97/FaceRecognition

Face recognition using PCA and LDA algorithms followed by KNN to search the embedding space.

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CCWI/wifi-fingerprinting-app

Android App for indoor localization in large buildings based on RSS fingerprinting

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jaiminjariwala/Random_Forest_Project_1

Language: Jupyter Notebook - Size: 818 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

CoolerVoid/libfast_knn

C++ library of k-nearest neighbors algorithm (k-NN), faster because uses Armadillo lib

Language: C++ - Size: 66.4 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 9 - Forks: 2

msikorski93/Diamond-Price-Modelling-Based-on-Their-Attributes

The purpose of this notebook is to develop an automated function to predict the price of a diamond based on its given features (cut, color, dimensions, etc.). We will create a machine learning model which can estimate these values. We need to find continuous data, so we will perform a regression task. We will use supervised learning to find the prices.

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anandanraju/Salary_Prediction_and_Analysis

K-nearest neighbors (KNN) is a type of supervised learning algorithm used for both regression and classification. KNN tries to predict the correct class for the test data by calculating the distance between the test data and all the training points. Then select the K number of points which is closet to the test data.

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anup-anny/NETFLIX-MOVIES-AND-TV-SHOWS-CLUSTERING

Unsupervised learning project (Clustering)

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jinudaniel/machine-learning-examples

Some of the machine learning algorithms created from scratch or using frameworks like Keras.

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Anas436/Loan-Case-will-be-Paid-OFF-or-NOT-Prediction-using-Classification-with-Python

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aryanraj2713/KNN-visualization

A casestudy about K-nearest-neighbors Algorithm

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Naveen-Karanamu/Iphone-Purchase-Prediction

This is the prediction of the Purchasing of the IPhone based on different features of the Human's - KNN

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tobiapoppi/flight-taxi-out-prediction-ML

A Machine Learning project about a regression problem for the prediction of Taxi-out time in flights, using 9 different ML models, with different algorithms and data-scaling.

Language: Python - Size: 533 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

mortezagholi79/Project_ML

Objective of the repository is to learn and build machine learning models using Python for data Personal Loan Acceptance( UniversalBank )

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zzmtsvv/ml_sandbox

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Madhur215/ML-Algorithms-Without-Libraries

This repository contains the implementation of some machine learning algorithms without using the libraries available for them. Although the basic functions of some libraries are used.

Language: Python - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

AmritTripathi/Movie-Recommendation-System

This is a Movie Recommendation System made by me on Google Colab.

Language: Python - Size: 5.95 MB - Last synced at: 23 days ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

kshitijshrivastava1903/Data-Science-And-Machine-Learning-Projects

Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets

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roshancyriacmathew/Supervised-machine-learning-on-iris-datatset

This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.

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wrajvi/Algorithm-FashionRecommendationEngine

Fashion Recommendation Engine using Deep Learning.

Language: Python - Size: 206 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

shogunbanik18/Spam-Defender

Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).

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aravindskumar98/Image-classification-using-hand-crafted-features

Hand crafted features and Learned Features for classification of faces on Yale32x32 dataset. LBP, HoG, SRC, Eigenfaces, Fischerfaces used with conventional ML algorithms

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