GitHub topics: supervised-learning

Repositories

mohdmahsoof/ii-researcher

II-Researcher: a new open-source framework designed to aid building search / research agents

Language: Python - Size: 537 KB - Last synced at: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 1 - Forks: 0

racinewu/NYCU-Machine_Learning_Industrial_Applications

NYCU 2021 Autumn Machine Learning Industrial Applications 黃衍佐機器學習原理與工業應用

Language: Python - Size: 2.88 MB - Last synced at: about 4 hours ago - Pushed at: about 8 hours ago - Stars: 0 - Forks: 0

Monishasubramani2004/Stock-Market-Prediction-Using-Machine-Learning-and-Time-Series-Forecasting

To forecast future stock prices using historical market data and provide actionable investment advice to reduce risk and support decision-making.

Language: Python - Size: 86.3 MB - Last synced at: about 6 hours ago - Pushed at: about 10 hours ago - Stars: 0 - Forks: 0

PaddlePaddle/PaddleScience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Language: Python - Size: 72.7 MB - Last synced at: about 11 hours ago - Pushed at: about 15 hours ago - Stars: 380 - Forks: 218

HitenDewangan/DataScience-AIML

AIML Python notebooks for learning and projects for understanding practical application.

Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: about 15 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0

Bigchase1a/Anxiety-Analysis-ML-NLP

Machine Learning - NLP - Anxiety Analysis

Language: Python - Size: 9.92 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

This is the repository that cover all the thing related to machine learning that i covered . This repository is bascially a collection from a lot of resouce and any person using this can have a clear idea about machine learning . I have covered all the type of mahcine learning supervised , unsupervised ,etc .

Language: Python - Size: 1.32 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

kira23j/AIx

A collection of ML and DL models using Sklearn, PyTorch, TensorFlow, Keras, LLMs, and more for diverse AI tasks.

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

ajaykr2712/ML_DS

Dialy Curated Open Source Learnings of ML 🤖

Language: Jupyter Notebook - Size: 73.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

MrFloow/Code-For-Income

Discover how to earn passive income with arbitrage trading bots. Clone the code and start your journey today! 🚀💻 #CodeForIncome

Size: 56.6 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Indodesa/Cancer

Explore the intersection of cancer research and computer science. Discover how AI and data analysis transform diagnosis and treatment. 🧬💻

Size: 344 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

kobinabrandon/Hourly-Divvy-Trip-Predictor

An end-to-end batch scoring machine learning system that produces hourly predictions of the number of arrivals and departures that will take place at various stations in Lyft's bike sharing system in Chicago.

Language: Python - Size: 4.17 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 26 - Forks: 7

Samya-S/Machine-Learning-Specialization

Materials and lab assignments for the Machine Learning Specialization by Andrew Ng

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - 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: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Levichu51/AA-Practicas

Prácticas de la asginatura de Aprendizaje Automático 24/25 UDC | Mención Computación

Language: Julia - Size: 7.13 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

simonprovost/scikit-longitudinal

☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges

Language: Python - Size: 55.2 MB - Last synced at: about 17 hours ago - Pushed at: 10 days ago - Stars: 45 - Forks: 2

Labo-Lacourse/stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

Language: Python - Size: 479 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 72 - Forks: 6

sofilambro/breast-cancer-ml-classification Fork of katiarusso/breast-cancer-ml-classification

This repository contains the work developed for the AI Lab course project, focused on predicting whether individual breast cancer cells have been exposed to normoxia (normal oxygen) or hypoxia (low oxygen) using single-cell gene expression data.

Size: 19.1 MB - Last synced at: 4 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

M-Z-5474/Housing-Price-Prediction

🏠 Predicting California housing prices using Linear Regression and sklearn. Includes full EDA, model evaluation, and prediction visualization.

Language: Jupyter Notebook - Size: 741 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

thomaszilliox1/Automated-Consumer-Goods-Classification

This project is focused on segmenting e-commerce customers using unsupervised machine learning models, specifically clustering algorithms.

Language: Jupyter Notebook - Size: 8.81 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

sp-muramutsa/shopping

Predicts whether an online shopper will generate revenue by analyzing their web session. Implements Supervised Machine Learning with preprocessing, model evaluation , and hyperparameter analysis.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

sp-muramutsa/agriculture

This project analyzes the importance of soil features in AI/ML-based prediction of the optimal crop for given soil measurements using SHAP(SHapley Additive exPlanations) .

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

mlr-org/mlr3proba

Probabilistic Learning for mlr3

Language: R - Size: 25.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 138 - Forks: 22

Kabilduke/DataScience

Machine Learning Notebooks

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

NicolasChagnet/energy-demand-forecast

Forecast of energy demand in France with periodic re-training.

Language: HTML - Size: 128 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

Alireza-Motazedian/Dockerized_ANN

End-to-end Artificial Neural Networks: built from scratch and with modern ML libraries. Includes custom training loops, real-world datasets, model tuning, and insightful visualizations.

Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

ghulammuttaqashah/AI-Resume-Analyzer

A Machine Learning model that classifies resumes as "Good Fit," "Potential," or "Bad Fit" using Random Forest. Built with Python, Pandas, and Scikit-learn, it includes a Gradio GUI for real-time screening and achieves 85% accuracy through advanced preprocessing and feature engineering.

Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

gstaxy/machine-learning-intro-course

Introduction to machine learning and artificial intelligence course. Content in French, but the code can be followed easily.

Language: Jupyter Notebook - Size: 5.52 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

jahanzaibshah234/Supervised-Machine-Learning-Regression-and-Classification-

📊 Python-based implementation of Supervised Machine Learning algorithms for Regression and Classification tasks.

Language: Python - Size: 23.4 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

csinva/imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Language: Jupyter Notebook - Size: 162 MB - Last synced at: 7 days ago - Pushed at: 15 days ago - Stars: 1,480 - Forks: 127

Lightning-Universe/lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Language: Python - Size: 5.41 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1,730 - Forks: 322

rasbt/mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Language: Python - Size: 94.3 MB - Last synced at: 7 days ago - Pushed at: 25 days ago - Stars: 5,038 - Forks: 880

Algi21/Final-Project---Employe-Recruitment

Dataset berupa employee recruitment dengan kolom target hiring_eligible. Tujuan model untuk memprediksi karyawan eligible atau tidak berdasarkan fitur-fitur pada dataset.

Language: Jupyter Notebook - Size: 5.65 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

zyra121/advertising-sales-prediction

This repository showcases a linear regression analysis using the Advertising dataset, demonstrating both simple and multiple regression techniques in Python. It also features a custom implementation of Gradient Descent for a deeper understanding of the concepts. 🐱💻📊

Language: Python - Size: 1.33 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

GGasset/CudaNeatNetwork

Easy to use, Neural Network framework made from scratch in CUDA/C++, featuring LSTMs, able to train using Supervised learning and Evolution methods

Language: Cuda - Size: 853 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

zeerkius/Machine-Learning-In-Rust

Models Implemented Soley In Rust

Language: Rust - Size: 2.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

M-Z-5474/reddit-mental-health-prediction

A complete AI/ML pipeline for mental health prediction using Reddit data. Applies NLP, TF-IDF, and supervised learning (SVM, Random Forest, XGBoost, Naïve Bayes, Logistic Regression) to classify depression, anxiety, and stress. A practical demonstration of applied data science and machine learning.

Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

adabyt/logistic_regression_tutorial

Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset

Language: Python - Size: 0 Bytes - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

adabyt/linear_regression_intro

Beginner-friendly implementations of Simple Linear Regression and Multiple Linear Regression using simulated data

Language: Python - Size: 10.7 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

theveryhim/Supervised-Unsupervised-Learning

Trying both Supervised and Unsupervised learning to see the difference

Language: Jupyter Notebook - Size: 398 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

joaomh/ml-book

An online book introduction to machine learning

Language: HTML - Size: 8.77 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

adithyanum/titanic-survival-ml

End-to-end ML classification project using the Titanic dataset (Random Forest + GridSearchCV).

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Azure99/BlossomData

A fluent, scalable, and easy-to-use LLM data processing framework.

Language: Python - Size: 271 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 21 - Forks: 0

Akarshjha03/Machine-Learning-Algorithms

Comprehensive collection of machine learning algorithms covering Supervised and Unsupervised Learning, Artificial Neural Networks, Genetic Algorithms, Bayesian Learning, Fuzzy Logic, and Optimization Techniques. Ideal for beginners and enthusiasts!

Language: Python - Size: 6.12 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 7 - Forks: 0

simonprovost/Auto-Sklong

☂️ Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

Language: Python - Size: 13.4 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 26 - Forks: 0

thomaszilliox1/Predicting-Building-Consumption

This project focuses on predicting the energy consumption needs of buildings using supervised machine learning techniques.

Language: Jupyter Notebook - Size: 5.22 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

minseok0809/classic-ai-paper

A curated list of classic artificial intelligence paper

Size: 514 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 10 - Forks: 0

fhswf/MLPro

MLPro - The Integrative Middleware Framework for Standardized Machine Learning in Python

Language: Python - Size: 574 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 15 - Forks: 3

LatiefDataVisionary/supervised-machine-learning-college-task

Size: 10.2 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

KhiopsML/khiops-python

The Python library of the Khiops AutoML suite

Language: Python - Size: 2.99 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 15 - Forks: 1

KhiopsML/khiops

Khiops is an AutoML suite for supervised and unsupervised learning

Language: C++ - Size: 19.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 51 - Forks: 6

tatianacarcamoreula/Modelo_ML_abandono_de_clientes

Predecir el abandono de futuros clientes

Language: Jupyter Notebook - Size: 659 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0

WasifSohail5/Heart-Disease-Risk-Stratification-and-Patient-Clustering-Analysis

Welcome to a real-world data science and machine learning project focused on improving healthcare outcomes! This repository provides a full workflow for predicting heart disease risk and uncovering patient subgroups using the UCI Heart Disease Dataset.

Language: Jupyter Notebook - Size: 614 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

cissagatto/HPML.CC

This code is part of my Ph.D. research. The R script runs in parallel the CC made in python.

Language: Python - Size: 51.4 MB - Last synced at: 5 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

samvik07/Income-Prediction-Project

Machine learning model for prediction of income levels with potential integration into a Streamlit web app.

Language: Python - Size: 605 KB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Billy1900/Awesome-Machine-Learning

Learning tutorial for machine learning beginners

Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 0

cissagatto/HPML.D.CE

This code is part of my Ph.D. research. The objective is to test the best chosen hybrid partitions with silhouette coefficient. It's called HPML Clusters Chains because we chain the labels of each cluster with subsequent clusters. It is a version of HPML where there is only the external chaining.

Language: R - Size: 53.4 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

PeaceOloruntoba/special-lamp

AI module of the blockchain e-voting system with AI fraud detection

Language: Python - Size: 6.84 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

nehaadahiya/health-insurance-fraud-detection

Health Insurance Fraud Detection Model

Language: Python - Size: 5.16 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

wish44165/UAVDB

UAVDB: Trajectory-Guided Adaptable Bounding Boxes for UAV Detection

Language: Python - Size: 133 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 3 - Forks: 0

TRAORE-07/Supervised-Learning-Models

Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

Language: Python - Size: 81.1 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

Laytix47472/ai-agents-learning-lab

Welcome to the AI Agents Learning Lab! This repository offers hands-on projects to explore supervised, reinforcement, and autonomous AI agents, focusing on goal formulation and task execution. 🐙🌟

Size: 65.4 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 2 - Forks: 0

Samuelpillai/machine-learning-classification-regression-nlp

A curated collection of machine learning mini-projects covering classification, regression, and natural language processing (NLP). This project demonstrates model training, evaluation, feature engineering, and pipeline integration using real-world datasets and Python tools like Scikit-learn, pandas, and NLTK.

Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

PedroNJorge/edu-student-intervention-system

Implementation of a Student Intervention System using Supervised Learning with SMOTE, KNN, Logistic Regression, Decision Tree and Random Forest. "Elements of Artificial Intelligence and Data Science" course in the 1st Year, 2nd Semester of the Bachelor of Artificial Intelligence and Data Science program

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

iam-salma/ml-bootcamp

🧠 A hands-on, beginner-to-advanced Machine Learning Bootcamp covering 🧪 EDA, 🤖 supervised & unsupervised learning, 🎯 model tuning, 🧰 feature engineering & 🚢 deployment using Docker

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - 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: 17 days ago - Stars: 0 - Forks: 0

QuantMerlinLab/eda-credit-card-fraud-detection

This project analyzes banking transactions to detect fraud patterns. By using exploratory data analysis (EDA) techniques and machine learning models, the goal is to predict fraudulent transactions based on various transaction characteristics.

Language: Jupyter Notebook - Size: 9.1 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

Dee66/supervised-learning

Supervised Learning Demystified is a modular, production-focused notebook series that bridges ML theory and real-world system design. Each notebook builds architectural depth with interactive visuals, real data, failure cases.

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

theanujsinha01/Rainfall-Prediction-Using-Machine-Learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

Language: Jupyter Notebook - Size: 370 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

Kratugautam99/Machine-Learning-Practice

Machine-Learning-Practice is a curated collection of classic ML algorithms and projects, organized into intuitive Jupyter notebooks. With structured input/output directories, saved model files, and hands-on examples—from linear regression and logistic classification to clustering, ensembles, and tuning.

Language: Jupyter Notebook - Size: 662 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

cissagatto/GlobalPartitions

This code is part of my PhD research. The aim is built and validate global partitions for multi-label classification

Language: R - Size: 55.4 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

soheb120/Breast-Cancer-Classification

This repository contains a notebook for classifying breast cancer tumors using neural networks. It covers dataset exploration, model training with TensorFlow and Keras, and performance evaluation. 🩺💻

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

itxtx/credit_card_fraud_prediction

A project on credit card fraud detection comparing supervised (Logistic Regression, Random Forest, XGBoost) and unsupervised models (Isolation Forest, LOF). Includes EDA, class imbalance handling, and in-depth hyperparameter tuning.

Language: Jupyter Notebook - Size: 4.82 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

cy-Yin/UCBerkeley-CS189-Sp24-Machine-Learning

This repo contains all the materials and solutions of UC Berkeley CS189/289A spring semester 2024

Language: Python - Size: 71 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

rixiiz/KNN-model-to-predict-the-OBP-of-MLB-players

A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

Language: Jupyter Notebook - Size: 546 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

Cyberoctane29/TikTok-Claims-Classification-End-to-End-Analysis-and-Modeling

This project involves analyzing TikTok videos to classify claims vs. opinions using Python. It includes EDA, statistical tests, logistic regression, and ML models (Random Forest, XGBoost) to support content moderation. Built with pandas, scikit-learn, and Tableau, the solution helps TikTok automate content review and enhance moderation efficiency.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 0

SharmishtaGanesh14/MachineLearniningLab

The labs cover the full breadth of machine learning concepts—from linear models and optimization to decision trees, ensemble methods, kernel-based SVMs, unsupervised learning, Bayesian inference, and explainable AI—through a mix of theory, Python coding, and real-world datasets.

Language: Python - Size: 15.7 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

pedbrgs/PyCCEA

A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data.

Language: Python - Size: 173 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 13 - Forks: 2

Soumyad0670/AI_ML

AI ML Repo for demonstration

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

Abdelrahman-Atef-Elsayed/Iris-Flower-Classification

Simple machine learning project for classifying Iris flowers using scikit-learn. A beginner-friendly ML project with multiple models comparison (Decision Tree, SVM, etc.)

Language: Python - Size: 16.6 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

pranav9989/OSPI

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

serkor1/SLmetrics

A high-performance R :package: for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

Language: C++ - Size: 27.3 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 23 - Forks: 4

Musabs2802/naive-bayes-from-scratch

Building a Naive Bayes Classifier using math and numpy from scratch

Language: Python - Size: 1000 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Musabs2802/linear-regression-from-scratch

Building a Linear Regression model using maths and numpy from scratch

Language: Python - Size: 2.93 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

Musabs2802/logistic-regression-from-scratch

Building a Logistics Regression model using maths and numpy from scratch

Language: Python - Size: 3.91 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

Musabs2802/decision-trees-from-scratch

Building Decision Trees Classifier using math and numpy from scratch.

Language: Python - Size: 1.95 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

AqwamCreates/DataPredict

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains Over 40 Models!

Language: Lua - Size: 19.1 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 7 - Forks: 2

Sumdiboii/loan-prediction-decision-trees

A Decision Tree Classifier was implemented to predict personal loan acceptance using a dataset of 5,000 customers. Key features included income, education, mortgage, and credit card usage. The model achieved 97% accuracy, with 92% precision and 76% recall for positive loan predictions, validated using a classification report and confusion matrix.

Language: Jupyter Notebook - Size: 837 KB - Last synced at: 3 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0