Topic: "knn-classification"
felipexw/knn-java-library
Just a simple implementation of K-Nearest Neighbour algorithm.
Language: Java - Size: 348 KB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 0
Hunterdii/Iriswise
IrisWise is a machine learning application for predicting Iris flower species. Built with Streamlit, this app provides a user-friendly interface to input flower measurements and receive predictions using various models, including K-Nearest Neighbors, (Random Forest, SVM, and Logistic Regression) **(Working On It...)**.
Language: Jupyter Notebook - Size: 921 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 5 - Forks: 3
Si-ja/Machine-Learning---Educational-Material
This repository is focused on providing educational material to those who start learning Machine Learning with python. [Many things I learn myself as I provide material for education, therefore the repository is of an altruistic character; have fun learning new things!]
Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 5 - Forks: 3
MelikaaS/Rain_Prediction_In_Au
I'm going to practice classification algorithms sch as Logistic Regression, KNN, DecisionTree, SVM to create a model based on training data set and evaluate testing data using evaluation metrics such as 'Acuuracy Score', 'Jaccard Index', 'F1_Score', 'LogLoss', 'Mean Absolute Error', 'Mean Squared Error' and 'R2-Score'
Size: 1020 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 5 - Forks: 0
mituskillologies/ai-cdac-drdo-july2024
The programs of certificate course on "Artificial Intelligence and Machine Learning" conducted at CDAC for DRDO by Tushar B. Kute.
Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 5 - Forks: 2
nano-bot01/Heart-Disease-Prediction-System-using-Machine-Learning
A Heart Disease Prediction System built on machine learning
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0
RobertoFalconi/GameRatingsPredictor
Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).
Language: Python - Size: 30.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2
ahmadali-jamali/Data-science-college-data-set-
Data science project
Language: Jupyter Notebook - Size: 152 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
meuwebsite/Stat-gram--InstagramMicroservice
Stat-gram is microservice tool for Business and Influencers on Instagram platform that uses AI to help with Marketing and Management.
Language: Jupyter Notebook - Size: 26.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3
dipesg/Thyroid-Classification
Web app which detect whether a person has a hypothyroid or not. Here user will give csv input as mentioned in schema file and according to that this app will predict.:hospital:
Language: Python - Size: 983 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0
dipesg/Insurance_Fraud
Webapp that predict whether a claim is a fraudulent or not by asking user to put a csv file as mention in schema.json.
Language: Python - Size: 622 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0
dipesg/Heart-Disease-Prediction
A simple heart disease prediction Streamlit web app that takes input features and predict on the basis of that. :heart:
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0
RadhikaRanasinghe/Meraki
A mobile application that diagnoses Parkinson’s disease patients using hand drawings
Language: Python - Size: 246 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0
VaibhavGaur05/StockMarketML
This repository contains our project on Stock Market Price prediction Using Historical Data
Language: Jupyter Notebook - Size: 9.6 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 6
zhaoxin1124ds/Lithofacies-classification-using-machine-learning
Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.
Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2
iampavangandhi/KNN-Image-Classification
🐱 Pokemon Image Classification using KNN Algorithm
Language: Jupyter Notebook - Size: 84 MB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 9
baha-a/WebMining
Web Usage Mining project for analyzing websites' log files
Language: C# - Size: 8.62 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 5
kkiani/animal-voice-recognition
A KNN based program to classifying animal sounds in MATLAB.
Language: MATLAB - Size: 7 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1
arunvignesh15/Machine-Learning
Learn and Explore
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 0
anubhavshrimal/Quick-Draw
Implementation of Google Quick Draw doodle recognition game in PyTorch and comparing other classifiers and features.
Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 4
pavankalyan1997/Machine-Learning-Using-Scikit-learn-and-other-libraries
Machine Learning algorithms implementation using Python
Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 6
TWilliamBell/kNNExample
Implementation of k-Nearest Neighbours algorithm for use on geometric morphometric data and a simulated dataset.
Language: R - Size: 5.83 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
Arkadeep-sophoIITG/SignLanguageHandGesture
Solution implemented in Samsung Hackathon for recognising hand gestures of A,B,C,V,point and five.
Language: Python - Size: 842 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2
Lakshya-Kejriwal/Fruit-classification
Language: Matlab - Size: 17.8 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 7
uttejh/ImageRecognition-NumberPlateDetection
Uses KNN classification (Machine Learning) to detect Number plates.
Language: Python - Size: 80.4 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 3
tertiarycourses/Weka
Exercise Files for Problem Solving with Machine Learning
Size: 16.6 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 34
dennisfrancis/AutoFillMissingData
A LibreOffice Calc extension that fills missing data using machine learning techniques
Language: C++ - Size: 324 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 5 - Forks: 1
havelhakimi/BankMarketing
Perform anomaly detection on Bank Marketing dataset
Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 4 - Forks: 0
gvarun20/Machine-learning_Simple_projects
use the data set and run the ipynb file
Language: Jupyter Notebook - Size: 50.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0
vutuanhai237/HybridQkNN
A quantum version of KNN algorithm
Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 1
Tushar365/Banking_prediction_Classification
💻Want to boost your bank's term deposit sales? This clever system predicts which customers are most likely to say "yes" to a term deposit, letting you target them with personalized calls. ️ No more cold calls! Just happy customers locking in great rates.
Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
ksm26/vector-databases-embeddings-applications
Unlock the power of vector databases with the "Vector Databases: from Embeddings to Applications" course! A journey that will equip you with essential skills to leverage vector databases for various applications.
Language: Jupyter Notebook - Size: 5.74 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 9
Project-Based-Learning-IT/pairup
• A Mobile App to find project partner using ML recommendations • One can create their profile and swipe recommended profile cards. • Once, both persons swipe each other right, they'll be able to chat with one another. • Tech Stack: React Native, Flask, MySQL, Firebase
Language: JavaScript - Size: 5.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
areeshaanjum748/100-days-of-machine-learning
Contains small-scale machine learning projects
Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3
Pythondeveloper6/Ensemble-learning-beginner-guide
machine learning ensemble learning types in easy steps with examples
Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
0205Rahul/Telemedical-Analysis
Here we vow to analyze datasets related to diseases, study and predict the outcomes of it, using different ML models. This would ensure us to understand the accuracy of our choice of model we implement to visualize the data
Language: Jupyter Notebook - Size: 53.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 2
NehaPant14/Loan-Prediction
Loan Prediction using Classification Techniques
Language: Jupyter Notebook - Size: 8.74 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
vivek2319/K-Nearest-Neighbors
This repository contains projects related to KNN algorithm using R, Python
Language: Python - Size: 99.6 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 13
Necl0/Abacus
MNIST classification w/ Scikit-Learn; deployed to Flask
Language: Python - Size: 7.99 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2
study-ml/knn-js
Visualize KNN in javascript
Language: JavaScript - Size: 607 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
gzlupko/Employee_Attrition_Modeling
People analytics project in R that implements predictive modeling to identify employees most likely to leave a company. Discussion around implications for the sample firm and proposed interventions draw on best practices in organizational development.
Language: R - Size: 137 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
SajjadAli54/cataract-classification-streamlit
Streamlit app for Cataract classification
Language: Python - Size: 2.93 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
RahulGoel2000/HAIS-Autonomous-Health-Assistance-Integrated-Sub-system
Cognitive boost for autonomous vehicles. System to monitor passengers heath.
Language: Makefile - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
a3X3k/Spam-Email-Detection
Size: 67.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
bgr8/Makine-ogrenmesi
Machine Learning with Python
Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
zahrasalarian/Information-Retrieval
A query answerer, written in Python, using the ISNA news agency database, by employing tf-idf and k-means clustering algorithms. It also classifies unlabeled news as one of the health, sports, culture, politics, and economy categories.
Language: Jupyter Notebook - Size: 49.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
senavs/knn-from-scratch
:heavy_check_mark: A Python implementation of KNN machine learning algorithm.
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1
Jonas56/classification-ecoli
KNN and Decision Tree
Language: Jupyter Notebook - Size: 3.98 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0
Ashishkumar-hub/Thyroid-Detection
To build a classification methodology to predict the type of Thyroid based on the given training data.
Language: Jupyter Notebook - Size: 2.76 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
alexaapo/ML-Image-Pre-Processing-Classification-and-Regularized-Non-negative-Matrix-Factorization
ML project based on image pre-processing, dimension reduction with PCA algorithm and classification with KNN, SVM algorithms and on creating and implementing an algorithm for Regularized non-Negative Matrix Factorization
Language: Jupyter Notebook - Size: 514 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
KrishArul26/Defect-detection-in-Air-Pressure-system-APS-of-a-truck-using-ML
The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.
Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
baguspurnama98/BM-FKNCN
A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN), BM-FKNN, FKNCN, FKNN, KNN Classifier
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1
nikhilkr29/AIR_QUALITY_INDEX_PREDICTION
Predicts the Quality of Air based on various factors .Different Supervised Machine Learning Algorithms were used like Linear Regression, KNN, Decision Tree, XgBoost. The best accuracy was obtained using Xgboost.
Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0
raghavm1/CZ4041--Machine-Learning
The project for NTU's course on Machine Learning, CZ4041
Language: Jupyter Notebook - Size: 25.7 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 3
swap-253/Twitter-US-Airline-Sentiment-Analysis
In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,
Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2
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
Erdos1729/text-classification-ml
Application of various text classification algorithms on multiple datasets.
Language: Jupyter Notebook - Size: 58.4 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2
anjalysam/Bank-Marketing-Analysis
Increase the effectiveness of the bank's telemarketing campaign.
Language: Jupyter Notebook - Size: 963 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
CK-ghub/Covid-symptoms-prediction
A Machine learning binary classification project using sklearn based on Covid19 symptoms dataset.
Language: Jupyter Notebook - Size: 800 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
shrebox/Information-Retrieval
Compilation of Information Retrieval codes.
Language: Jupyter Notebook - Size: 89.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1
Ayantika22/PCA-Principle-Component-Analysis-For-Wine-dataset
PCA(Principle Component Analysis) For Wine dataset in ML
Language: Jupyter Notebook - Size: 853 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 4
Vishal1999-33/K-Nearest-Neighbors
Credit Card Fraud Detection
Language: Jupyter Notebook - Size: 524 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
divyam-goel/ML-using-MapReduce-and-Spark
Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark
Language: Scilab - Size: 589 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
sdeepaknarayanan/Machine-Learning 📦
Assignments of the ML Course at IIT Gandhinagar
Language: Jupyter Notebook - Size: 32.6 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1
dkarageo/Distributed_KNN
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
Language: C - Size: 23.9 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3
susravan/Yelp-Recommendation-System
This system is developed as a part of capstone project for Statistical Machine Learning course. The system recommends restaurants to Yelp users based on their reviews history in the Yelp database.
Language: Jupyter Notebook - Size: 155 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 2
greed2411/kNN
Using k-Nearest Neighbors algorithm, training it using 2/3rd of the iris.data and using the rest of the 1/3rd for the test case, and yield prediction for those 1/3rd with an accuracy usually greater than 90% , and this algorithm is implemented without using Python scikit-learn.
Language: Jupyter Notebook - Size: 811 KB - Last synced at: 7 days ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 2
masoudshahrian/DataScience
AI Machine learning Deep learning Projects with code
Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 3 - Forks: 0
viktormiok/Csppa
Machine learning analysis & visualisation of cellular spatial point patterns
Language: R - Size: 751 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1
Kartik-Katkar/Recommendation-system
This repository houses a recommendation system that's built using collaborative filtering and the K-nearest neighbors (KNN) algorithm. It helps suggest items based on the preferences and behaviors of users, making it a valuable tool for personalized recommendations.
Language: Python - Size: 6.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 2
arya2004/credit-score-classification
Credit Score Classification in R using various algorithms
Language: R - Size: 37.1 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0
Gill003/Smart-Sign-Language-Translator-Glove
The Smart Sign Language Glove is a wearable device that translates sign language gestures into text or speech, bridging communication gaps for sign language users. Powered by an ESP32 microcontroller, the glove uses flex sensors and an MPU-6050 accelerometer/gyroscope to capture real-time hand movements.
Language: C++ - Size: 6.27 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1
acetinkaya/k-NN-Siniflandirma-Yontemi
Makine Öğrenmesi Algoritmaları Kitabı / Bölüm 4.4. k-NN Siniflandirma Yontemi / Nobel Akademik Yayıncılık
Size: 114 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0
sadegh15khedry/ML-Algorithms-From-Scratch
This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: 15 days ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1
Bugss05/IACD_Predicting_Hepatocellular_Carcinoma_through_SML
Predicting Hepatocellular Carcinoma through Supervised Machine Learning
Language: HTML - Size: 247 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0
imxade/classifySketch
Language: JavaScript - Size: 39.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
MatinHosseinianFard/FCI-projects
Fundamentals-of-Computational-Intelligence course projects
Language: Jupyter Notebook - Size: 9.91 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
bhuvansun/driver-alertness-prediction
Detecting the alertness of a driver using an ML model of KNN and Logistic Regression
Language: Jupyter Notebook - Size: 945 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
KhaledAshrafH/KNN-Classifier
This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.
Language: Python - Size: 63.5 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
sahandsbt/milk_quality_prediction
In this mini-project, we can predict milk quality by color, pH, fat & etc .I used KNN algorithm to classify.
Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0
NotShrirang/Machine-Learning-from-Scratch
ML / DL Algorithms implemented from scratch. Developed with only numpy as dependency. Machine Learning Algorithms such as Support Vector Machine, Linear Regression, Artificial Neural Networks and other data transformation algorithms are implemented. Project is released as a python package and can be download from Python Package Installer.
Language: Python - Size: 86.9 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1
rzninvo/IR_Phase3
Third and final phase of the Information Retrieval Project.
Language: Python - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
Sang-Buster/Indoor-Positioning-System
Wi-Fi Indoor Positioning System based on K-Nearest Neighbors Algorithm
Language: R - Size: 12.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
Elbig-exe/Machine-Learning-Project
Artificial intelligence model that detects intrusions in a network by analyzing TCP / IP packets by machine learning algorithms
Language: Python - Size: 1.01 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
HasanBeratSoke/Hastalik_tahmini
KNN algoritması kullanarak şeker hastalığı sınıflandırılması
Language: Jupyter Notebook - Size: 231 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
RubaiyadNoorShahriar1999/Wine-Quality-Testing--Machine-Learning
Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine
Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
Shaik-Sohail-72/Iris-Flower-Type-Prediction-and-Classification-with-ML-and-MERN
Iris flower type prediction and classification with machine learning and MERN web I/O system. This project predict the type of iris flower by using machine learning . K-NN algorithm is used for multiclass classification.
Language: EJS - Size: 283 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
gnsaddy/book-recommendation-system-webapp
Book Recommendation System Web App
Language: SCSS - Size: 21.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
dilaraozdemir/pattern-recognition
Machine Learning Methods Examples
Language: Python - Size: 634 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
SheezaShabbir/BagofWords-Computer-Vision-
1-Bag of SIFT representation and nearest neighbor classifier
Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
chetansharma05/machine-learning
You are hired by one of the leading news channels CNBE who wants to analyze recent elections. This survey was conducted on 1525 voters with 9 variables. You have to build a model, to predict which party a voter will vote for on the basis of the given information, to create an exit poll that will help in predicting overall win and seats covered by a particular party.
Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
Abis47/Parkinson_Detection-KNN_WebApp
Parkinson Disease Prediction using KNN Model followed by Deployment of Model as an WebApp using Heroku
Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1
Curovearth/Pi_Giving_Voice_to_Voiceless
Software and Hardware prototype for giving voice to those who are unable to say or hear
Language: JavaScript - Size: 1.76 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 3
abishek-as/Netflix-EDA
The Netflix Dataset's exploratory data analysis is housed in this repository. To evaluate the pattern and extract relevant information from it, the dataset is applied to various data mining algorithms such as Naive Bayes Classifiers, K-Nearest Neighbor(KNN), and Apriori.
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0
Ashishkumar-hub/Mushroom-Classifier
To build a classification methodology to predict the type of Mushroom and whether it is edible or poisnous based on the given training data.
Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0
akthammomani/Credit_Risk_Classification
Classification Modeling: Probability of Default
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1
trinhdoduyhungss/classification_sentence_knn_simple
It's an example of a sentence classification project using KNN algorithm.
Language: JavaScript - Size: 49.8 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
sanchayan721/SupportVectorMachineVsKNN
Support Vector Machine : Theoretical Development with loss function and K-Fold Cross Validation
Language: HTML - Size: 790 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2
rkc007/KNN_color_recognition
K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features to recognize colors
Language: Python - Size: 6.65 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
sakusuma/CreditCardFraudDetection
Although digital transactions in India registered a 51% growth in 2018-19, their safety remains a concern. Fraudulent activities have increased severalfold, with around 52,304 cases of credit/debit card fraud reported in FY'19 alone. Due to this steep increase in banking frauds, it is the need of the hour to detect these fraudulent transactions in time in order to help consumers as well as banks, who are losing their credit worth each day. Machine learning can play a vital role in detecting fraudulent transactions. Imagine you get a call from your bank, and the customer care executive informs you that your card is about to expire in a week. Immediately, you check your card details and realise that it will expire in the next 8 days. Now, in order to renew your membership, the executive asks you to verify a few details such as your credit card number, the expiry date and the CVV number. Will you share these details with the executive? In such situations, you need to be careful because the details that you might share with them could grant them unhindered access to your credit card account.The aim of this project is to predict fraudulent credit card transactions using machine learning models. The data set that you will be working on during this project was obtained from Kaggle. It contains thousands of individual transactions that took place over a course of two days and their respective labels.
Language: Jupyter Notebook - Size: 841 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
