GitHub topics: classification-algorithm
Zulqarnain-10/Behavioral-Risk-Factor-By-Tobacco-Use
This project analyzes tobacco use risk factors using machine learning to predict 'High Confidence Limit' for various demographics. It includes data preprocessing, EDA, and multiple ML models like Linear Regression, Random Forest, and SVM. Detailed results and code are available in the repository.
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: about 5 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

toancontrai/fastmap
A fast structure from motion pipeline written in Pytorch.
Language: Python - Size: 3.28 MB - Last synced at: about 6 hours ago - Pushed at: about 8 hours ago - Stars: 1 - Forks: 0

gattsu001/Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
Language: Python - Size: 191 KB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 1 - Forks: 0

rishal-hurbans/Grokking-Artificial-Intelligence-Algorithms
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Language: Python - Size: 46.9 MB - Last synced at: about 15 hours ago - Pushed at: about 17 hours ago - Stars: 367 - Forks: 121

shubham0204/GaussianNaiveBayes_Android_App 📦
A simple implementation of the Gaussian Naive Bayes algorithm in Android ( with Kotlin ).
Language: Kotlin - Size: 960 KB - Last synced at: about 16 hours ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Language: Python - Size: 1.48 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 1,030 - Forks: 162

Vortechlabs/klasifikasi-jeruk
This is a ML classification project that predicts the quality of oranges based on various physical, chemical, and environmental characteristics. The system classifies oranges into three quality categories: Good, Medium, and Poor using logistic regression with comprehensive data preprocessing.
Language: Jupyter Notebook - Size: 229 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Varun-khorgade/ChurnShield-Customer-Retention-Predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
Size: 1000 Bytes - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Language: Python - Size: 1.79 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 4,795 - Forks: 737

OfficialYapper/Project-Credit-Risk-Analysis
German Credit Data - 1994
Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

shortthirdman/PredictorXVault-Cookbook
Master Machine Learning: A Collection of Classification & Regression Algorithms in Action
Language: Jupyter Notebook - Size: 29 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

abess-team/abess
Fast Best-Subset Selection Library
Language: C++ - Size: 210 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 487 - Forks: 42

adiag321/CRM-Analysis-for-Marketing-data
In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 10 - Forks: 5

NishkarshRaj/100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 336 - Forks: 163

ivandronovais/autou-case-pratico
Case prático para vaga de estágio em desenvolvimento na AutoU. A proposta era desenvolver uma aplicação web que utilizasse IA para classificar emails e sugerir uma resposta automática
Language: Python - Size: 573 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

murufeng/awesome-papers
机器学习,深度学习,自然语言处理,计算机视觉方面的顶级期刊会议论文集
Size: 62.4 MB - Last synced at: 3 days ago - Pushed at: about 5 years ago - Stars: 139 - Forks: 35

Tomaslopera/Scientific_Computing
Language: Jupyter Notebook - Size: 22.3 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

Mariam-Badr-MB/gtc-ml-project2-diabetes-prediction
This project is part of the GTC Machine Learning Program. It demonstrates the end-to-end ML workflow by building a predictive model for diabetes detection
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

sujata1712/EnsembleACPredict---Machine-Learning-Project
EnsembleACPredict: An Ensemble Machine Learning Framework for Anticancer Peptide (ACP) Classification with LGBM‑Based Feature Importance
Language: Jupyter Notebook - Size: 751 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

ibrar-syed/mammography-classification_by_Deep_Learning
A modular, scalable, deep learning-based pipeline for classifying mammographic images using various pre-trained CNN architectures.
Language: Python - Size: 111 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

carlomarxdk/sawmil
Multiple-Instance SVM models in Python (based on Gurobi and OSQP solvers)
Language: Python - Size: 164 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

gaurav1nemani/Insurance-Fraud-Detection
Robust insurance fraud detection project using Python and Power BI. Covers data preprocessing and EDA, three machine learning algorithms (Logistic Regression, Random Forest, and tuned XGBoost with SMOTE and Optuna), SHAP for model interpretability, and a business dashboard with KPIs, fraud trends, category insights, and per-claim fraud explanations
Language: Jupyter Notebook - Size: 7.47 MB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

bergerache/Telecom_churn_predictor
Churn prediction for Telecom company
Language: Jupyter Notebook - Size: 496 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 2 - Forks: 0

lancwyy/Bank-Marketing-Modeling-Deployment
modeling and deployment for Kaggle Bank Marketing - Deposit Prediction
Language: Python - Size: 169 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Tamoziit/Data-Mining
Data Mining Assignments & codes
Language: Jupyter Notebook - Size: 175 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

javiermerinom/granify-classification-analysis
Machine learning classification project analyzing user behavior for purchase prediction.
Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Danyal-Shah-tech/Internship-Task
This repository showcases two end-to-end data science projects completed during my internship: Titanic Survival Classification , Stock Price Prediction - LSTM Designed to demonstrate professional data science workflow from EDA to model deployment-ready solutions.
Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

barahona-research-group/hcga
Highly Comparative Graph Analysis - Code for network phenotyping
Language: Python - Size: 265 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 49 - Forks: 15

rudra00434/LogisticRegression_Model_Iris-dataset_HyperTuning
Trained a Logistic regression model on iris dataset (hypertuning wth GridSearch_CV )
Language: Python - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

beatriz-ls/regressao_cancer_tireoide
Análise de um estudo de coorte sobre pessoas com câncer de tireóide. Realização de análise descritiva, aplicação de testes estatísticos e desenvolvimento de um modelo de regressão logístico com desfecho remissão do câncer.
Language: JavaScript - Size: 3.66 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

wilsonck75/D-Cubed-Data-Lab
D³ Data Lab: Data. Decisions. Delivery. This repository holds the data files and notebooks for projects shown in my portfolio.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ManiatGIT/loan-approval-prediction
🏦 Predict loan approval outcomes using a robust machine learning model, ensuring informed decisions with data-driven insights and an interactive web interface.
Language: Jupyter Notebook - Size: 202 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

TNO-Quantum/ml.classifiers.vc
Scikit-learn compliant Variational Quantum Classifier
Language: Python - Size: 3.02 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 5 - Forks: 1

AldiPradana-KD/Automatic-Ticket-Classification
This project processes customer complaint data using pandas for data manipulation and applies text preprocessing techniques, including lemmatization, to clean and normalize complaint text. The `tqdm` library provides progress bars for efficient tracking of text processing tasks.
Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

RyanBrittes/AI_Multiclass
Algorithm created to explore a multiclass model with logistic regression
Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Habib832/Kaggle-Fraud.ipynb
Kaggle-Fraud.ipynb :octocat: compares six machine learning models on the PaySim mobile money dataset to detect fraud amid severe class imbalance.
Language: Jupyter Notebook - Size: 539 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

charles-vzf/modularyNN
Neural Network framework implemented from scratch for educational purposes during first month of RIKEN AIP traineeship
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping
Python implementation of KNN and DTW classification algorithm
Language: Jupyter Notebook - Size: 59.5 MB - Last synced at: 11 days ago - Pushed at: about 7 years ago - Stars: 786 - Forks: 214

bergerache/Appointment_NoShow
medical appointments No-Show classifier
Language: Jupyter Notebook - Size: 2.47 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

rwejoye/seattle-weather-timeseries
Time series and machine learning modeling to analyze and predict Seattle’s weather patterns using climate variables like precipitation, temperature, and wind.
Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

francescopiocirillo/bayesian-map-vs-logistic-regression
Binary classification project in Python comparing a MAP classifier (with known distributions) vs. logistic regression. Includes analytical posterior derivation, Monte Carlo simulation, and gradient-based training. Focus on error probability, variance impact, and model performance.
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

martini-alessandro/GW_classifiers
Configurable implementation of machine learning classifiers for distinguishing between Gravitational wave signals and noise transients in GW detectors
Language: Python - Size: 55.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sozelfist/handson-ml3 Fork of ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Language: Jupyter Notebook - Size: 28.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

neetmadann/Kaggle-Fraud.ipynb
Fraud Detection in Mobile Money Transactions using Machine Learning . A binary classification project comparing six models (Logistic Regression, Naive Bayes, Decision Tree, Random Forest, KNN, SVM) on the PaySim dataset. Includes data preprocessing, class balancing, feature importance analysis, and model evaluation (accuracy, precision, recall, F1-
Language: Jupyter Notebook - Size: 550 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

bernardoadribeiro/classification-model-as-webapp
This project implements a interface (form) using Flask to predict the classification based on inputed data, using a trained model.
Language: HTML - Size: 25.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ua-datalab/MLWorkshops
UArizona DataLab Workshops
Language: Jupyter Notebook - Size: 106 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0

JeongsooWon/MeTel
MeTel (Metastasis Teller): Genomic classification of intrapulmonary metastasis and multiple primary lung cancer
Language: Python - Size: 9.94 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

azizp128/income-prediction-flask
An experiment with machine learning model deployment using the Flask framework on Heroku & Streamlit. This project features a simple machine learning model that utilizes the Gradient Boosting Classifier algorithm to predict an employee's income.
Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

aashnajoshi/Florance
A Python-based deep learning model that classifies flower images, specifically recognizing Rose, Sunflower, and Tulip. It allows users to upload images for real-time classification and offers batch processing for enhanced performance.
Language: Python - Size: 1.91 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

CelineBoutinon/big-data-cloud
CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 9
Language: Python - Size: 2.4 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

cardmagic/classifier
A general classifier module to allow Bayesian and LSI classifications.
Language: Ruby - Size: 106 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 666 - Forks: 123

ohadlivay/ML-and-DS-Notebooks
My playground for learning ML and DS concepts
Language: Jupyter Notebook - Size: 233 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Shanthi-1821/Software_Development_ML_project
Software Development : AI-ML Supervised Classifier project on Security Authentication Algorithm
Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 2 months ago - Pushed at: 2 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

levyben/DeepSuperLearner
DeepSuperLearner - Python implementation of the deep ensemble algorithm
Language: Python - Size: 185 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 135 - Forks: 22

NathanFirmo/classifier.js
:robot: Natural language processing with JavaScript
Language: TypeScript - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 119 - Forks: 1

Maitreya71/Machine-learning-model-in-Rstudio
Designed a machine learning model of classification type to classify authenticity of cuisines on YELP data using Rstudio
Language: R - Size: 543 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Nano-a/medicinal-plant-classifier
Classificateur de plantes médicinales basé sur RandomForest. Prédiction binaire avec explications et métriques complètes (accuracy, F1, ROC). Interface web interactive.
Language: HTML - Size: 5.64 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

NeverSinkDev/NeverSink-Filter
This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.
Size: 30.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2,517 - Forks: 490

amansiwach868/titanic-survival-prediction
This repository contains a project focused on predicting Titanic passenger survival using machine learning techniques. It includes data analysis, feature engineering, and model evaluation to provide insights into survival rates. 🛠️📊
Language: Python - Size: 259 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Saravanan9698/Saravanan.Github.io
Welcome to my Data Science Portfolio! I'm Saravanan — an IITM Pravartak Certified Data Science Professional with practical experience building end-to-end ML and Deep Learning solutions across healthcare, finance, e-commerce along with NLP and GEN AI Domains. This portfolio highlights my work on real-world data-driven projects.
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mukulsinghal001/lead-scoring-model-python
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
Language: Jupyter Notebook - Size: 7.07 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 59 - Forks: 25

hrolfrc/calfcv
A classifier that implements a course approximate linear function with cross validation
Language: Python - Size: 1.15 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Dicoding-Addin/BMLP-ADDIN
Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tatianacarcamoreula/Modelo_ML_abandono_de_clientes
Predecir el abandono de futuros clientes
Language: Jupyter Notebook - Size: 659 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

dhrupad17/Machine-Learning-A-Z
This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance
Language: Jupyter Notebook - Size: 53.4 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

smg478/OralCancerDetectionOnCTImages
C++ implementation of oral cancer detection on CT images
Language: C++ - Size: 28.1 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 7

joaopcalumby/linearsvc_spam-classification
E-mail classification using LinearSVC algorithm
Language: Python - Size: 1.85 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

krishnadey30/Artificial_Intelligence_Codes
C codes for the Arificial Intelligence Course and algorithms.
Language: C - Size: 872 KB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 2

HolyGrease/Algorithm-ID3
Decision tree learning is a method for approximating discete-valued target functions, in which the learned function is represented by a decision tree.
Language: Python - Size: 25.4 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

jlgarridol/sslearn
The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.
Language: Python - Size: 1.89 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 3

Marta-Barea/mlp-iris-classifier
A simple project to train and evaluate a multilayer perceptron on the Iris Sepecies data using TensorFlow, SciKeras, and Scikit-Learn.
Language: Python - Size: 194 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

hrshankar2002/Siamese-Convolutional-Neural-Network
The official implementation of the paper "Efficient Siamese Network-Based Approach for Multi-Class ECG Classification in Arrhythmia Detection"
Language: Jupyter Notebook - Size: 9.19 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Marta-Barea/mlp-sonar-classifier
A simple project to train and evaluate two multilayer perceptron models on the Sonar data using TensorFlow, SciKeras, and Scikit-Learn — one without data standardization and another with standardized input data.
Language: Python - Size: 313 KB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Marta-Barea/mlp-diabetes-classifier
A simple project to train and evaluate a multilayer perceptron on the Pima Indians Diabetes Dataset using TensorFlow, SciKeras, and Scikit-Learn.
Language: Python - Size: 133 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

imildositoe/car_pedestrian_lidar_data_processing
Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.
Language: Python - Size: 18.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

aryashah2k/Prediction-Of-PCOS-Using-Optimized-ML-Classifiers
Official Code Files For My Research Paper Presented at 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022). Paper Published in Springer Book Series, "Algorithms for Intelligent Systems (AIS)".
Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 3

vikram-raju/Customer-Visits
An exploratory study of understanding visit patterns of customers at a shopping mall and predicting their visit in the upcoming week.
Language: HTML - Size: 40.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

shainamackin/nyc-hh_algorithmic-bias-mitigation
The code presented here is meant to accompany our Playbook, which illustrates our threshold adjustment methodology that can mitigate bias in EHR-based classification models. Our paper and the Playbook can be found in npj Digital Medicine at the link below:
Size: 6.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

christiandarvs/SmartCents-Algorithm
Our SmartCents mobile application utilizes Decision Tree algorithm to recommend financial literacy modules to students based on their responses to a set of questions.
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Morano-git/WDBC-ML-Classification-Assignment
Fundamentals of Machine Learning Assignment Repository
Language: Jupyter Notebook - Size: 5.09 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

sibirbil/RuleDiscovery
Two algorithms based on linear programming to discover classification rules for interpretable learning.
Language: Python - Size: 89 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 23 - Forks: 2

sabin74/customer_churn_prediction
Predict whether a customer will churn (leave the service) based on their usage and demographic data using machine learning.
Language: Jupyter Notebook - Size: 461 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

alanrazop/Fake-News-Detection
Este proyecto presenta un detector de noticias falsas que utiliza técnicas de aprendizaje automático y procesamiento de lenguaje natural para clasificar artículos como verdaderos o falsos.
Language: Jupyter Notebook - Size: 6.61 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

99sbr/DeepLearning
Deep Learning / NLP Projects and Experiments
Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

williamfridh/Vehicle-Classifying-and-Counting-Convolution-Neural-Networks-Onboard-Cost-Efficient-Microcontrollers
Real-time vehicle classification and counting using Convolutional Neural Networks on microcontrollers.
Language: C++ - Size: 81 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

anonymo2239/Big-Data-Churn-Analyzer
Scalable customer churn prediction using PySpark. Includes EDA, feature engineering, modeling, and real-time inference on new data.
Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Dharmeshgadhiya161/Mid-Course-Assessment---ML-Case-Study
Mid Course Assessment - ML Case Study(Credit Scoring (Banking & Financial Services))
Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

enriquegit/multiviewstacking
A python implementation of the Multi-View Stacking algorithm
Language: Python - Size: 3.91 MB - Last synced at: 13 days ago - Pushed at: 8 months ago - Stars: 29 - Forks: 0

LatiefDataVisionary/machine-learning-basic-dicoding
Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

JCGCosta/Prevh
This package implements the Prevh classification algorithm. Which is a Machine Learning classification algorithm for handling with situation which the kNN can´t be conclusive.
Language: Python - Size: 206 KB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Elinvord/telco-churn-ml
Predicting and analyzing customer churn in telecom using machine learning.
Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

abhinabasaha/ml
Language: Jupyter Notebook - Size: 960 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

nandan-byte/EDUNET-WEEK1
🌾 Crop & Fertilizer Recommendation using ML - This project uses machine learning to suggest the best crop and fertilizer based on soil and weather data like pH, temperature, and rainfall. Built using Python and Google Colab.
Language: Jupyter Notebook - Size: 628 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

GeorgeHanyMilad/Heart-Disease-Detection
Machine Learning Project
Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

bluegreen-labs/foto
The FOTO (Fourier Transform Textural Ordination) R package.
Language: R - Size: 20.4 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3

ahmetozlu/color_recognition
:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
Language: Python - Size: 6.68 MB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 342 - Forks: 120

ndminhvn/gender-classification
Gender Classification problem - Predict if blog texts are written by male or female
Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

xinglab-ai/genomap
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Language: Python - Size: 43.7 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 4

MeqdadDev/teachable-machine
A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.
Language: Python - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 7 - Forks: 3
