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

AIML Projects

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AYSE-DUMAN/K-Nearest-Neighbors

K Nearest Neighbors algorithm in Python and some applications

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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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JordiCorbilla/DDM

Distributed decision-making system with Jade and Weka

Language: Java - Size: 8.95 MB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 7 - Forks: 6

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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yrahul3910/employee-attrition-predictor

Predicts whether a given employee will leave the company or not.

Language: Visual Basic - Size: 61.5 KB - Last synced: about 2 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 2

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: 3 months ago - Pushed: about 7 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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Rcode879/Handwritten-digit-detector

A school machine learning project based on the Knearest neighbours model

Language: Python - Size: 2.66 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

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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Reef-world/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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Upasanadhameliya/Iris-Classifier-Project

Uses Machine Learning Python libraries and Predicts the iris flower type based on KNeighboursClassifier model

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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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KunalRRathod/Placement-Predictor

A web application that is usins machine learning technology to deliver results.

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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: 6 months ago - Pushed: over 3 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: 3 months ago - Pushed: over 2 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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MohamedOmar2020/13-machine-learning-models

Six machine learning models for predicting bladder cancer progression using Caret package

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HillalXD/customer-segmentation

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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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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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Alli3d/knn_iris 📦

K Nearest Neighbours algorithm for iris dataset

Language: Python - Size: 1.95 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

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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mattmezza/knn-digit-char-recognition

This python program helps you kickstart with digits recognition using OpenCV and k-nearest-neighbor algorithm

Language: Python - Size: 12.7 KB - Last synced: 9 months ago - Pushed: almost 8 years ago - Stars: 1 - Forks: 1

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: 10 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0

SarCode/ML-Code-Tutorials-Udemy

Complete Tutorial Guide with Code for learning ML

Language: Python - Size: 3.86 MB - Last synced: 10 months ago - Pushed: about 1 year 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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mayankanand007/YFraud

Credit card fraud detection platform using scikit-learn and xgboost 💳

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Gopinathalpha7/Machin-Learning_Notes

[ Simple steps to learn Machine learning models ]

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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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Anjali-DA/Introduction-of-Machine-Learning

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

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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: about 1 year ago - Pushed: over 1 year 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: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

sahith/MachineLearning

MachineLearning

Language: Python - Size: 7.15 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 3 - Forks: 1

ravitejaCR7/Machine-Learning

Language: Python - Size: 186 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 5 - Forks: 1

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

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CoolerVoid/libfast_knn

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

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

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

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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.

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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: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - 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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nikopetr/R-Star-Tree

Java Implementation of the R* Tree

Language: Java - Size: 8.7 MB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 4 - Forks: 3

wrajvi/Algorithm-FashionRecommendationEngine

Fashion Recommendation Engine using Deep Learning.

Language: Python - Size: 206 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

ozlemkorpe/Machine-Learning-with-MATLAB

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

Language: MATLAB - Size: 134 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 6 - Forks: 3

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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ChiragVaghela10/digit_recognition

Language: Python - Size: 224 KB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

mauryashobhit/books_recommendation

books recommendation system

Language: Jupyter Notebook - Size: 876 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

shogunbanik18/spam-detector

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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alfianandinugraha/knn-iris

Simple algorithm K-Nearest Neighbors with Python and Sklearn

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akshayratnawat/NaturalLanguageProcessingSpecialization

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PrateekDutta2001/Online-Food-Delivery-Preference

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rajtulluri/Predicting-Car-Prices

Predicting Car prices given the various characteristics

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mquazi/ML-projects

Some of my Machine Learning (SVM, Decision Trees, Random Forest, K Nearest Neighbors, Deep learning aka Neural Network, XGBoost) projects

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american-perspectives-capstone/american-attitudes

Our team acquired survey data from the Pew Research Panel, and we explored the drivers of pessimism in American Prospective Attitudes. Understanding what most likely drives pessimistic or optimistic thinking about the future will help business leaders clarify strategies for moving forward and guide expectations of future success in the customers they serve, products offered, investments made, in Marketing and Sales, and throughout their business organization.

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paddywardle/Heart-Disease-Classification---Python

Exploratory data analysis was performed on a dataset heart disease dataset, constructing various visualisations, to gain useful insights about the data. Various machine learning algorithms were then trained to classify whether someone has heart disease or not based on various features, scoring each algorithm based on their accuracy and deciding on which algorithm was the best to use for future predictions.

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ebubekirdgn/Machine-Learning-2018

Machine Learning Algorithm Examples

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EslamTK/Students-Performance-System

Students performance system to help students improve their academic performance

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