GitHub topics: knearest-neighbor-classifier
stu115/Machine-learning-assignment-pt.2
Doing algorithms on next sets of data
Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

aliktepl/knn-classifier
Machine learning algorithm (K Nearest Neighbors) on a TCP server in C++ with command design pattern and multi-threading capabilities.
Language: C++ - Size: 1.68 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

annarsama/PropertyValues-Prediction
Prediction of property values using machine learning algorithms and about 3 million data
Language: Jupyter Notebook - Size: 224 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nadhif-royal/ModelComparisonML
In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I evaluate and compare the performance and accuracy of these models using a breast cancer dataset, and get the confusion matrix and accuracy score.
Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

DivyanshVyas123/Mental-Health-Prediction
This GitHub repository focuses on predicting mental health conditions. It provides tools and resources for analyzing trends and patterns related to mental health issues.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SahanjithD/Sinhala-Characters-Recognition
Language: Jupyter Notebook - Size: 353 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

lucasfrag/Dengue-Prediction-KNC
Projeto desenvolvido para realizar previsão de casos de dengue usando o algoritmo de classificação KNeighborsClassifier.
Language: Python - Size: 98.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

MAHMOUD2ABDALLAH/family-members-segmentation
Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...
Language: Python - Size: 629 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

taeefnajib/glass-type-prediction
In this project, we are going to classify the type of a glass based on the elements used in the glass.
Language: HTML - Size: 3.81 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

evernext10/Hand-Gesture-Recognition-Machine-Learning
Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador
Language: Python - Size: 180 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 3

sam-salehi/KNN-Song-Genre
Using a KNN approach to predict song genre based on metrics provided by spotify
Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

kanchitank/Mushroom-Classification
A machine-learning project to determine if a certain mushroom is edible or poisonous.
Language: Jupyter Notebook - Size: 14 MB - Last synced at: 30 days ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 13

Rcode879/Handwritten-digit-detector
A school machine learning project based on the Knearest neighbours model
Language: Python - Size: 2.66 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Milanpeter-77/Competition-AXA-Data-Science-Challenge
AXA Data Science Challenge
Language: Python - Size: 2.9 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ShakeefAhmedRakin/LungCancerPrediction
Lung Cancer Prediction achieved using sklearn for the CSE422 course at BRAC University,
Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shahpranshu27/HandsOn_ML
This is GEM repo, as it has all the Hands-On ML notebooks
Language: Jupyter Notebook - Size: 23 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Mugambi645/machine-learning-with-iris-dataset
Iris classification with supervised learning algorithms
Language: Jupyter Notebook - Size: 490 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

madeyoga/face-recognition
Train SVM & KNN model for face recognition with the help of "The world's simplest facial recognition api for Python and the command line"
Language: Python - Size: 1.59 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 0

LeftCoastNerdGirl/Disaster_Tweet_Classification_NLP
This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program.
Language: Jupyter Notebook - Size: 615 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

johannaschmidle/ChurnPredictionModel
Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

abhiverse01/Iris-Classifier-KNN
The Iris flower classification project uses the Iris dataset to demonstrate a simple machine-learning workflow. It covers data loading, exploration, preprocessing, model building, evaluation, and data visualization.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

imShubh03/Machine_Learning
Explore hands-on machine learning projects, resources, and collaborative opportunities in this GitHub repository.
Language: Jupyter Notebook - Size: 9.53 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

YNWA-Algo/T-Cancer-Reoccurrence-Predictor-Model
This project leverages data from 383 thyroid cancer patients over 15 years to develop a model to predict propensity for reoccurrence based on certain features. This work extends and further explores different model types to emerge with the best predictor model - and save more lives
Language: Jupyter Notebook - Size: 8.65 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

emykes/Flu_Vaccination_ML
The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.
Language: Jupyter Notebook - Size: 4.92 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

kshitijshrivastava1903/Liver-Disease-Prediction-Using-ML_Algorithms
Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.
Language: Jupyter Notebook - Size: 339 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 2

edwinthomas444/machine-learning
e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms
Language: Python - Size: 55.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

storytellingengineer/kNN_Classifier
Complete theory and practical implementation of k-Nearest Neighbors Classifier
Language: Jupyter Notebook - Size: 220 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tranhlok/k-nearest-neighbors 📦
Python code for k-nearest neighbors algorithm.
Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

gflexx/Spaceship-Titanic
This is a kaggle ML/AI competition for predicting if passengers survived after ship accident
Language: Python - Size: 349 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

cvogitgud/KNNClassifier
Repo for my K-Nearest Neighbor Classifier
Language: Python - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

diffrxction/House-Prediction-Boston
ML project.
Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

haniye6776/feature-issues
In this project I want to show the effect of feature extraction, feature selection, etc. on results of different models
Language: Jupyter Notebook - Size: 342 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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
Language: Python - Size: 6.83 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

Abdelrahman-Amen/k-nearest-neighbors-KNN-from-scratch-and-Built_in
KNN is a basic machine learning algorithm used for classification and regression tasks. It predicts the class of a new data point based on the majority class of its nearest neighbors. KNN is simple, non-parametric, and learns directly from the training data without explicit training.
Language: Jupyter Notebook - Size: 168 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Titanic-survival-prediction
The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.
Language: Jupyter Notebook - Size: 104 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shyamal-Shah/Image-based-recommender-system
Deep learning based recommender system made up of CNN for feature extraction and k-nearest-neighbors for recommendation
Language: Jupyter Notebook - Size: 58 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2

kpsijil2/Bank-Note-Analysis
Predicting Bank note genuine or not.
Language: HTML - Size: 533 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

psavarmattas/Stroke-Prediction-ML-Model
This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.
Language: Jupyter Notebook - Size: 7.16 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

MuskanKhandelia/Iphone_Purchase_Prediction
supervised-machine-learning-knearest-neighbour-and-decision-tree-classification
Language: Jupyter Notebook - Size: 586 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Gyanalyst/Loan-Approval-Prediction-Case-Study
This is a Classification problem in which we need to classify whether the Loan will be approved or not.
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nopesir/SVMHomework1
First homework of the course "Machine learning and artificial intelligence", focused on K-Nearest Neighbors, Support Vector Machines and cross-validation technique.
Language: Jupyter Notebook - Size: 684 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Valeria9533/Cifar10_pattern_recognition
Language: Jupyter Notebook - Size: 367 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

amoustakis/Estimation-of-vital-status-of-cancer-patients-using-Machine-Learning
Estimation of vital status of patients with ovarian cancer using Machine Learning models (K-Nearest-Neighbors, Support Vector Machine, Logistic Regression, Random Forest and XGBoost)
Language: Jupyter Notebook - Size: 715 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Emman-24/Classification-of-Handwritten-Digits
This project aims to build a convolutional neural network (CNN) model that can classify handwritten digits from the MNIST dataset.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rfhussain/Marketing-Data-Analysis-of-Bank-with-Machine-Learning
An assignment project which analyzes the demographic and marketing campaign related information of client records to predict if he/she will subscribe to the product or not
Language: Jupyter Notebook - Size: 852 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

digamjain/Clustering-Geolocation-Data-Intelligently
My learning outcomes and followup of a well instructed Coursera guided project by Ari Anastassiou.
Language: Jupyter Notebook - Size: 934 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

lasanthagithub/Identifying_Fraud_from_Enron_Emails_using_Machine_Learning
The fraud identification models were build using Python Scikit-learn machine-learning module.
Language: Python - Size: 12 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 2

hernanrazo/UCI-iris-classification 📦
A python script that classifies iris flower species based on their various dimensions.
Language: Python - Size: 164 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

iashishpatel/Machine-Learning-Classification
In this repository i am going work on multiple Classification models and technique's.
Language: Jupyter Notebook - Size: 445 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

JenilGajjar20/Machine_Deep_Learning-Algorithms
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alexandragross9/Diabetes_Project
EDA, Hypothesis Testing, Feature Engineering, Model Pre-Processing, and Model Construction in Python
Language: Jupyter Notebook - Size: 5.88 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

gkar90/OKCupid-Project
Scrape OKCupid data and run data analysis and machine learning to better predict variables.
Language: Jupyter Notebook - Size: 52.5 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

rupak10987/Neural-Network-Algorithoms
This repository consists of codes regarding different neural network algorithom implementation.
Language: C++ - Size: 2.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Leohrithik/Titanic-Survival-Prediction
Survival prediction using Four Different kind of algorithms and optimizing the dataset using PCA and SMOTE
Language: Jupyter Notebook - Size: 388 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

KhaledTofailieh/Hand-Written_Digits-Recognition
Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

jmrieck17/CSC-5800-Final-Project-Heart-Disease-Prediction
This project repository evaluates the effects of feature reduction on the heart disease dataset using multiple machine learning models
Language: Jupyter Notebook - Size: 533 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

midNight-jam/Reviews-Polarity-Inference
A practical application in e-commerce applications to infer sentiment (or polarity) from free-form review text submitted for a range of products. I have wrote a K Nearest Neighbor algorithm to calculate the locality of a review vector in the Euclidean space using the Cosine Similarity Metric.
Language: Python - Size: 7.9 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

hemanth0808/diabetes_classification
Here we detect diabetes based on some attribute values related to body
Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

iamjagdeesh/Machine-Learning-Assignments
CSE 575 Statistical Machine Learning
Language: Python - Size: 15.3 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 4

felipexw/guessb
Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.
Language: Python - Size: 10.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

Abhishekkohli/Disease-Predictor
This Machine Learning project is used to predict the disease based on the symptoms given by the user. It predicts using the best result obtained from several machine learning algorithms. It uses tkinter for GUI.
Language: Python - Size: 60.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Manaliagarwal/Eigen-Faces-fetch_olivetti_faces-
Eigenfaces is an approach to facial recognition based on the overall appearance of a face, not on its particular details. By means of technique that can intercept and reshape the variance present in the image, the reshaped information is treated like the DNA of a face, thus allowing recovery of similar faces (because they have similar variances) in a host of facial images.
Language: Jupyter Notebook - Size: 263 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

HillalXD/wine-clustering
Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

smorga41/Logistic-Regression-Sentiment-Analysis
A Supervised machine learning classifier using K Nearest Neighbour (KNN) and Logistic Regression.
Language: Jupyter Notebook - Size: 354 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

saramille/Breast-cancer-Data-analysis
This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
Language: Jupyter Notebook - Size: 466 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

iamkirankumaryadav/Iris
Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.
Language: Jupyter Notebook - Size: 125 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

581-pooja/Disease-Detection-ML
Heart, Kidney, and Diabetes Disease Detection website will use machine learning to predict the results, it is an end-to-end website deployed using Azure Cloud Services.
Language: Jupyter Notebook - Size: 8.26 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

abideen-olawuwo/healthmonitor
A model for healthmonitor
Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sakshibabbar2019/Classification-suite-and-Methods-for-Performance-Evaluation
Predictive problems requires three main challenges to overcome. First, choosing the right classification algorithm. Second, building a robust building and testing environment for algorithm to learn and thirdly, picking the appropriate performance metric for evaluation. Here it is explained how these challenges can be addressed.
Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

mstuefer/data_mining
The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
Language: Ruby - Size: 188 KB - Last synced at: 6 months ago - Pushed at: almost 10 years ago - Stars: 15 - Forks: 6

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 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Sanky18/Machine_Learning_Projects
Personalized Medicine: Redefining Cancer Treatment
Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

npagrawal/Book-Recommendation-Engine
You just finished a book! Now what? Using KNN and NLP, I can give you the next five books on your reading list based on the one you just finished.
Language: Jupyter Notebook - Size: 68.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

dotorimuk1112/ML_self_taught
What I taught myself about Machine learning
Language: Jupyter Notebook - Size: 5.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mahyarsab/Hotel_Reviews_NLP_Analysis
The goal of this project is to use Natural Language Processing (NLP) techniques to analyze hotel reviews and gain insights into customer opinions and experiences to classify hotel reviews.
Language: Jupyter Notebook - Size: 468 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

NemesLaszlo/Heart-Disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
Language: Jupyter Notebook - Size: 268 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

simonefinelli/PulsarStar
Predict a Pulsar Star using Stochastic Gradient Descent, K nearest neighbors, Support Vector Machine and Decision Tree classifiers.
Language: Jupyter Notebook - Size: 957 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

allanphil/Company-Bankruptcy-Prediction
This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.
Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

fazeelkhalid/artificial-intelligence-real-life-problem-and-solutions
All solved lab of FAST NUCES Lahore campus _ 2022 Spring
Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 13

TomerLankri/MNIST-DB-ML-models
In this repository I present some of the models i trained learning the MNIST DB.
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

rifqinvnd/Stroke-Disease-Classification
Detection (Prediction) of the possibility of a stroke in a person
Language: Jupyter Notebook - Size: 410 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

11dome11/K-Nearest-Neighbors-and-Radius-Neighbors-Implementation
Application of my own KNN and RN algorithms (weighted or not) on iris dataset
Language: Jupyter Notebook - Size: 162 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Jiboku-Oluwatunmise/fraud-detection-model
This is a machine learning model which has been tested and trained to solve the fradulent problems which challenges a bank. Because the bank intended to detect fraudulent transactions automatically, this model was established.
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

meljoy1099/waterwell-status-prediction
Predicting the functionality of waterpoints in Tanzania to help solve their water crisis. Modeling techniques include Logistic Regression, K Nearest Neighbors, Decision Trees, Random Forest, and XG Boost.
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

rexgraystone/K-NearestNeighborsClassifier
This is the first machine learning assignment that I had completed in the 5th semester of my undergraduate course on Computer Science with Artificial Intelligence and Machine Learning at Dayananda Sagar University, Bengaluru, India in October 2022.
Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Rl16193/Unpaved_Road_Condition_Monitoring
The aim of this paper is to review existing methods already available in the literature, and present a research into the use of smartphones for classification of unpaved roads utilizing the machine learning techniques including K-Nearest Neighbor (KNN) and Support Vector Machines (SVM).
Size: 1.34 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

anandanraju/Titanic_Survival_Prediction_Model
The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.
Language: Jupyter Notebook - Size: 544 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

alibulutb/Machine-Learning-Practice
I share the work I did when I first started learning machine learning.
Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

HassanAbdulJabbar/flower-detection-on-the-basis-of-Iris
We've applied machine learning K-Nearest Neighbor as a classification algorithm to iris dataset to detect the kind of flower on the basis of petal and sepal length. The detection will be made on the basis of the nearest matching categories of flower to which the results match and KNN maps it to that category.
Language: Jupyter Notebook - Size: 40 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

mortezagholi79/Project_ML2
Objective of the repository is to learn and build machine learning models using Python for data Housing Median Price ( BostonHousing).
Language: R - Size: 281 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

awojidetola/Mobile-Phone-Price-Prediction
In this project, the price ranges of mobile phones are predicted based on the features the phone possesses.
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

gb-pignatti/ML_from_scratch
I code from scratch various Machine Learning algorithms.
Language: Jupyter Notebook - Size: 5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Ahmedaltu/Banking_Predictions
Banking predictions using logistic regression model and k-nearest neighbours regression model and comparison between them.
Language: Jupyter Notebook - Size: 256 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

datagirlz19/Applied-Data-Science-in-R
A collection of mini projects in R that apply statistical and machine learning methods and tools to solve data-driven problems
Size: 21 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

l0reDLeon/KNearestNeighborsProject
Just a simple KNN project made with sklearn.
Language: Jupyter Notebook - Size: 7.1 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 240 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

anishjohnson/Credit_Card_Default_Prediction
In this project we predict credit card defaults using classification models.
Language: Jupyter Notebook - Size: 9.92 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sonu275981/breast-cancer-prediction
Breast Cancer Classification using Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbours (K-NN), Support Vector Machine (SVM), GaussianNB and Random Forest which is a supervised learning method to detect breast cancer are used.
Language: Jupyter Notebook - Size: 431 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Toshani/Credit-Card-Fraud-Detector
Mini project repository where we have implemented Credit card fraud detection using encoding, SMOTE-ing and KNN.
Language: Jupyter Notebook - Size: 7.42 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

mauryashobhit/income_census
classification model to predict whether a person earns more than $50k per year or not
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
