matthewasisgress/multiway-classification

Application of the R package cpfa to real datasets.

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ashioyajotham/Daily-ML

My daily ML practices

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arcena9/R-Machine-Learning-TCR

📈 Analyze thyroid cancer recurrence using logistic regression and advanced machine learning algorithms for accurate risk stratification and insights.

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SirBleu/Intelligent-Analytics-Artificial-Neural-Networks

This repository contains my work and learnings from a class on Intelligent Analytics. It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the subject

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IsaCouture/Weather-Type-Classification-WebApp

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

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MiyajiAnimation/Spam-Filter

Spam-Filter is a powerful tool used to automatically detect and remove unwanted or unsolicited electronic messages that often flood email inboxes. It helps users to efficiently manage their emails by filtering out irrelevant or potentially harmful content, allowing them to focus on important messages.

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Mehtab00007/Country-Explorer

Country Explorer is a web application that lets you explore countries worldwide using free public APIs. Discover each nation's name, flag, and detailed information with simple filtering options. 🗺️🌍

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Wickstrom/pattern-recognition-handbook

Material for the Pattern Recognition course FYS-3012 at UiT The Arctic University of Norway

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rickiepark/the-ml-book

<머신러닝, 핵심만 빠르게!>(인사이트, 2025)의 코드 저장소

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Mindful-AI-Assistants/3-social-buzz-ai-Support-Vector-Machines-SVM

🪐 3- Socila Buss: This repository is robust, combining theory, practical code, and visualization for a deep understanding of Support Vector Machines (SVM)

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wangluchen567/MELON

基于NumPy构建的机器学习模型<br>ChEn's Machine Learning model Organized using Numpy

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The1stMartian/Machine-Learning-For-Healthcare

Using machine learning to detect healthcare fraud

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lnv-louis/AML-Subtypes-Classification-ML

R scripts for RF and RBF-SVM for Acute Myeloid Leukemia subtypes multiclass classification using gene expression profiles. LASSO feature selection, SMOTE sampling, 10-fold cross-validation, variable importance plot, PCA plot, normalized Confusion Matrix, GSE13159.

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mikeroyal/Machine-Learning-Guide

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Language: Python - Size: 1.05 MB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 664 - Forks: 60

DaniloCVieira/iMESc

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

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NeamulIslamFahim/Diabetes-Prediction-Machine-Learning

This repository contains the code and resources for a machine learning project aimed at diabetes prediction. We have implemented multiple machine learning models and data visualization techniques to build an accurate diabetes detection system.

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accord-net/framework 📦

Machine learning, computer vision, statistics and general scientific computing for .NET

Language: C# - Size: 408 MB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 4,540 - Forks: 1,990

nsoojin/coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Language: Python - Size: 21.9 MB - Last synced at: 24 days ago - Pushed at: about 5 years ago - Stars: 1,427 - Forks: 487

hkalager/ML_AccountingFraud

This repository contains the core models used in my working paper entitled "A Machine Learning Approach to Detect Accounting Frauds". Note: The codes for the final version of the article are maintained in a separate repository.

Language: Python - Size: 22.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

smusab9152/Machine_Learning_Practicals

Hands-on Jupyter notebooks demonstrating machine learning algorithms, including classification, anomaly detection, Naive Bayes, and support vector classification, applied to real-world datasets like breast cancer for practical learning and experimentation

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andrewnana/Python-Machine-Learning

This project investigates recurrence of thyroid cancer from a biostatistics, epidemiology and machine learning perspective.

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andrewnana/R-Machine-Learning-TCR

Thyroid cancer recurrence prediction

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fukuball/fuku-ml

Simple machine learning library / 簡單易用的機器學習套件

Language: Python - Size: 3.46 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 282 - Forks: 73

RizkyPutraKurnia1/Machine-Learning-Algorithms

Machine Learning Algorithms such as k-Nearest Neighbors, Support Vector Machine, etc

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y-alzahrani/bank-churn-prediction-using-binary-classification

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jLevar/ml-uvu-4700

Machine learning course projects, including a credit card fraud detection model

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Vijay-Chaudhari14/Credit-Card-Fraud-Detection

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carmelgafa/ml-from-scratch

ML algorithms from scratch

Language: Python - Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 34 - Forks: 31

shalemrajkumar/CrackThePUF

PUF (Physical unclonable function) a promising way to provide "silicon fingerprints" based on the delays in signal propagation with respect to key. Since PUF are prone to ML Attacks, Crack the Multi level PUF is a part Assignment of CS771 2024-2025-w course

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SuryaAbyss/Earthquake-prediction-using-Machine-learning-models

In this project, we use historic earthquake data from California to build machine learning models that predict: 📍 The probability of an earthquake in a region 📊 Its possible magnitude

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DoubangoTelecom/compv

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Language: C++ - Size: 324 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 199 - Forks: 44

MAvRK7/IPL-Score-prediction-ML-Project

Using Machine Learning Models to predict IPL (20 over cricket) scores

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Sangeeta-vishwakarma/Machine-Learning-Algorithms

This repository includes basic algorithms of machine learning.

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miladrayka/hca_ml

Predict Activity of Human Carbonic Anhydrase

Language: Python - Size: 15.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

avemurphy/Comparing_ML_Models

Comparing Machine Learning Models

Size: 549 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

apichat-badan/amazon-reviews-analysis

📊 Analyze Amazon reviews to gain insights and improve products, leveraging data for better customer satisfaction and informed decision-making.

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GjjvdBurg/GenSVM

A Generalized Multiclass Support Vector Machine available in Python, R, and C

Language: C - Size: 31.1 MB - Last synced at: 29 days ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 6

shashiniyer/Once-a-DS-N00b

My first repo on GitHub, a portfolio of some data science projects I undertook

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lohithgsk/FLARE-Federated-Learning-And-Resilient-Encryption-for-Firewalls

FLARE is a novel approach to redefine the design of firewalls. Traditional firewalls generally rely on static rule sets, which can be exploited by advanced algorithms. FLARE provides a novel approac by designing Machine Learning based firewalls integrated with fedreated learning.

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gamy703/titanic_machine_learning

Predicts Titanic passenger survival using machine learning (Logistic Regression, Decision Tree, and Random Forest). Analyzes factors like age, gender, and fare to identify key predictors.

Language: Python - Size: 1.55 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

madhurimarawat/Pattern-Recognition-and-Machine-Learning

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

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Mo-Elshamy/machine-learning-practice

This repository serves as a collection of my work and learning in machine learning while my internship in Cellual-Technologies, including algorithm explanations, data preprocessing workflows, and two projects.

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Abudo-S/WineQualityPrediction

Documented experiment for wine quality prediction through SVM, KSVM, LR and KLR. Implementation of SVM and Logistic Regression models [with optional non-linear kernelization] from scratch. Implementation of K-Fold cross validation for hyperparameter tuning. Implementation of PCA for dimensionality reduction.

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DylanJohnston/mml-solutions-and-code

From the popular book "Mathematics for Machine Learning". My solutions to the exercises from Part I. Also, notebooks with concrete examples of concepts from Part II.

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ashish10-aga/tailored-career-prediction

A machine learning-based career prediction system that analyzes personality traits (OCEAN model) from CSV data or video interviews to recommend multiple career roles. Supports Random Forest, SVM, KMeans, and facial emotion analysis with DeepFace.

Language: Python - Size: 2.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DanielJ56/ColorectalCancerML

3 Machine Learning Models trained to predict distant progression in colorectal cancer patients received stereotactic body radiation therapy.

Language: Python - Size: 307 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ajaykrsna/fundamentals-of-deep-learning

Course-grade implementation and curated material for Fundamentals of Deep Learning and TinyML (MME 26849). Includes hands-on notebooks, slides, and practical experiments covering classical models (SVMs, perceptrons), modern deep nets (CNNs), and efficiency techniques (pruning, quantization) with a focus on size/latency-aware workflows

Language: Jupyter Notebook - Size: 123 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

Meena123M/Oil-Pipeline-Accidents-

Analyzed oil pipeline accident data using advanced data preprocessing techniques including outlier handling, multicollinearity removal, and feature scaling. Built machine learning models (Logistic Regression, SVM, KNN) and clustering using KMeans.

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ajaykr2712/ML_DS

Dialy Curated Open Source Learnings of ML 🤖

Language: Python - Size: 74.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Shoaib1-coder/Career_guidance_project

A machine learning-powered Career Guidance Chatbot built with Python, Streamlit, and Scikit-learn. It analyzes user interests and questions to suggest the most suitable career paths using an SVM classifier trained on a custom career dataset.

Language: Python - Size: 746 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Keshav1516/interview_response_classifier

Create a prediction model on interview response data using classification techniques in supervised machine learning. check the enter code now.

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adrenaline555/KizBasina_Odev2

Breast Cancer Classification using the Wisconsin dataset. Predict benign or malignant tumors with models. Explore data preprocessing and performance comparison. 🦠📊

Language: Python - Size: 309 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

RahulNeuroByte/Celebel_Summer_Internship_2025

This repository contains weekly assignments and tasks completed during my 2-months Data Science internship at Celebel Technology Pvt. Ltd. (2025). Each folder represents work done in a specific week, covering Python with oops concept, data preprocessing, EDA, machine learning and Gen AI fundamentals

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

deliprofesor/KizBasina_Odev2

Breast Cancer Classification using Support Vector Machines (SVM) with multiple kernels. This project includes data preprocessing, exploratory data analysis, model training, hyperparameter tuning, handling imbalanced classes with SMOTE, and model evaluation using metrics like accuracy, confusion matrix, classification reports, and ROC-AUC curves.

Language: Python - Size: 320 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Daniyar1239/Bionic-prosthesis-on-AI

Real-time EMG signal classification for the bionic prosthesis design

Language: MATLAB - Size: 56.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Mai3Prabhu/Support-vector-Classifier

Support Vector Classifier (SVC) is a supervised machine learning algorithm used for binary and multi-class classification tasks. It finds the optimal hyperplane that best separates data points of different classes in a high-dimensional space.

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Mai3Prabhu/Support-Vector-Regression

This project applies Support Vector Regression (SVR) to predict restaurant total bills using features from the Tips dataset. It includes data preprocessing, model training, and hyperparameter tuning to improve prediction accuracy.

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putuarya0/titanic-survival-prediction

This project aims to build a machine learning model that can predict whether a passenger survived (Survived = 1) or did not survive (Survived = 0) the Titanic disaster.

Language: Jupyter Notebook - Size: 558 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

LENGKH/Voice_Classifier

A Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for audio analysis and machine learning experimentation.

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steam-bell-92/Distance_Walked

Language: Jupyter Notebook - Size: 622 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

guevaracodina/mezcalSVM

This project explores the use of image-based classification to differentiate between two mezcal varietals: Agave salmiana and Agave marmorata (Tepeztate). Dark-field microscopy images of evaporated mezcal droplets were analyzed using a Support Vector Machine (SVM) classifier.

Language: Jupyter Notebook - Size: 424 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

utkarsh-284/Credit-Default-Risk

This Repository deals with Credit Risk evaluation and prediction of default

Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

tiskw/random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Language: Python - Size: 4.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 101 - Forks: 23

Data-Frank/Date-A-Scientist-Machine-Learning-in-Python

In this project data from OKCupid has been used to predict income and whether someone smokes or not. The follow machine models were used: neural network, multiple linear regression, random forest classifier, support vector machine and logistic regression.

Language: Jupyter Notebook - Size: 990 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jonas-tfo/signal-peptide-prediction-models

This project focuses on the classification of amino acid sequences and/or the contained individual amino acids into various different categories related to signal peptide types and residue locations using various machine learning models.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ahsan-83/Machine-Learning-Stanford-Online

Machine Learning Specialization course offered by Stanford Online on Coursera

Size: 65.4 MB - Last synced at: 4 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

F4he23/Brest-Cancer-Prediction

Predict breast cancer using machine learning. This project builds a model to distinguish between benign and malignant tumors, aiding early diagnosis. 🩺💻

Language: Jupyter Notebook - Size: 7.41 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ughrima/Employee-Attrition

This project aims to predict the likelihood of employee attrition in a company using IBM HR Dataset (link). By leveraging advanced classification techniques and feature engineering, the goal is to build a model that can accurately identify employees who are likely to leave the company.

Language: Jupyter Notebook - Size: 770 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

prokriti11/Brest-Cancer-Prediction

This machine learning model classifies breast tumors as benign or malignant by analyzing medical features from biopsy data. It serves as a diagnostic support tool for healthcare professionals, helping improve cancer detection accuracy and patient care through AI-driven tumor classification.

Language: Jupyter Notebook - Size: 7.57 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

xHarshit/Multiple-Disease-Prediction-System

This project features a Streamlit-based web application that predicts multiple diseases—such as diabetes, Parkinson's disease, and heart disease—using machine learning models. These models are integrated into an interactive interface built with Streamlit, enabling real-time predictions.

Language: Jupyter Notebook - Size: 67.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MidoHossam14/MachineLearningAlgorithms

Hands on machine learning algorithms with scikit-learn , tensorflow and keras.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

BenTremblay1/CCSU_Special_Project_

Predicting the Probability or Occurrence of Relapse for Colorectal Cancer Patients using Gene Expression Data

Size: 464 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

iswaryalaxmis/Unsupervised-learning

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

navaneethbr/Machine-Learning-Algorithm-From-Scratch

This repository contains implementations of various machine learning algorithms built from scratch, without using high-level machine learning libraries like Scikit-learn. The aim is to provide a deeper understanding of how these algorithms work internally by building them using only basic Python libraries such as NumPy.

Language: Python - Size: 75.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

trimitanf/analisis-sentimen-coretax

Analisis sentimen pengguna media sosial X terhadap sistem Coretax menggunakan algoritma Support Vector Machine (SVM).

Language: Jupyter Notebook - Size: 108 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

emirgocen03/mental-health-text-classification

🧠 Multi-model machine learning approach for mental health classification from social media text. Compares BERT, LSTM, and SVM models achieving 83.6% accuracy on 7 mental health categories. Research-focused with ethical AI considerations.

Language: Python - Size: 11.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

define957/SupportVectorLab

Advanced Toolkit for Support Vector Machines in R

Language: R - Size: 862 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

define957/manysvms

There are many different types of SVMs in this repository.

Language: R - Size: 1.23 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

Ebrizzzz/Face-Recognition-with-CNN

Developed a convolutional neural network (CNN) utilizing FaceNet to detect and identify multiple faces in an image with high accuracy.

Language: Python - Size: 8.07 MB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

EvanGks/svm-iris-classification

A comprehensive, portfolio-ready machine learning project demonstrating Support Vector Machine (SVM) classification on the Iris dataset. Includes data preprocessing, model training, hyperparameter tuning, evaluation, and visualization, with full reproducibility and live results on Kaggle.

Language: Jupyter Notebook - Size: 101 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Snigdho8869/Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 29 - Forks: 4

Mach-A/mlr_blr_svm_using_mnist_dataset

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sabin74/iris_flower_classification

This project implements a multi-class classification model on the famous Iris dataset using Python and Scikit-learn.

Language: Jupyter Notebook - Size: 448 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

lahirudiz/rdash

Interactive data-visualisation dashboard that predicts student performance with K-Nearest Neighbors (KNN), Support Vector Machines, and Gradient Boosting models.

Language: R - Size: 24.4 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shilpakancharla/galaxy-image-classification

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star formation, and the nature of the universe. Since we could not find an easily accessible dataset for galaxy classification, we compiled a dataset for Galaxy classification and provided benchmarks with some of the common learning algorithms that would help in automating the galaxy classification which until recently had to be performed by hand by expert astronomers. We classify the images of galaxies into four classes: spiral, elliptical, irregular, and invalid.

Language: Python - Size: 3.83 MB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 3

Avik-Jain/100-Days-Of-ML-Code

100 Days of ML Coding

Size: 10.4 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 47,293 - Forks: 10,927

nishi1612/Email-Spam-Classification-using-SVM

The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.

Language: Python - Size: 463 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 10

srishanthreddy456789/Autism-Detection-of-Early-Childhood-Screening-

This project employs machine learning for early autism detection. Utilizing Python and SVM, it offers two models: one trained on a verified dataset for classification, and another for real-time prediction from user input, enhanced with visualizations for insightful analysis.

Language: Jupyter Notebook - Size: 191 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sharukat/benchmark-ml-intrusion-detection

This project consists of comparative algorithm analysis between six machine learning algorithms to identify the optimum ML algorithm for intrusion detection.

Language: Jupyter Notebook - Size: 474 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

Pargo18/Applying-Deep-Learning-vs-Machine-Learning-models-to-reproduce-dry-spell-sequences

This research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different temporal coverage are used together with satellite-based precipitation products. Conventional machine-learning and deep-learning algorithms were compared in an attempt to establish a link between satellite products and field rainfall data for dry spell assessment.

Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 1

m-monaci/MARGOT

Source code of the paper "Margin Optimal Classification Trees"

Language: Python - Size: 298 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 7 - Forks: 0

domjoseph2000/GermanCredit

Credit-Default Modelling using GermanCredit Dataset

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Fcisraelalves/SVM-Breast-Cancer-Dataset

Treinamento de um modelo de classificação binária de tumores utilizando o support vector machine, pois o algoritmo possui um desempenho elevado em classificação binária.

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VigneshKanna18/detecting-creditcard-fraud

ML model for detecting credit card fraud, with a focus on effectively reducing transaction risk.

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kk7nc/Text_Classification

Text Classification Algorithms: A Survey

Language: Python - Size: 13.8 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 1,811 - Forks: 544

mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

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liuruoze/EasyPR

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

Language: C++ - Size: 186 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 6,391 - Forks: 2,499

Edopramudya/Support-Vector-Machine-SVM-Classification---From-Scratch-Library

implementasi algoritma Support Vector Machine (SVM) untuk klasifikasi data sederhana (berbasis berat dan tinggi badan) ke dalam dua kelas: soccer dan sumo.

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madsjulia/SVR.jl

Support Vector Regression for Unsupervised Machine Learning

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ksdkamesh99/Spam-Classifier

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

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