sunkari-vijay-kumar/medic-ai-chatbot

🩺 Access reliable health advice with MediC, an AI chatbot that ensures accurate, empathetic interactions while prioritizing user safety through intelligent design.

Language: Python - Size: 7.42 MB - Last synced at: about 10 hours ago - Pushed at: about 12 hours ago - Stars: 0 - Forks: 0

khanoyhv/Fake-News-Detection

📰 Detect and classify news articles as Real or Fake using Machine Learning and Natural Language Processing in an interactive Streamlit web app.

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

deathlessjr/ecommerce-churn-analysis

📊 Discover customer churn patterns in e-commerce with 91% predictive accuracy, optimizing retention strategies and revealing $17M at-risk value.

Size: 1.3 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

rdxdfulll/ClassifiersCommittee

🌧️ Predict rainfall in Australia using various classification algorithms and enhance your data science skills with the ClassifiersCommittee project.

Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

mafrs47/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 0

sudhanshu182004/ml-from-scratch

A comprehensive collection of practical machine learning examples using popular frameworks and libraries.

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

KMorimotoAndor/Global-Health-Analysis-

A Power BI report analyzing global health trends, disease-specific data, and healthcare infrastructure across countries. Includes KPI cards, slicers, and interactive charts for insightful exploration.

Size: 28 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 1

Yanne0800/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

pravinkumarelangovan/ml-from-scratch

🔍 Explore machine learning by building algorithms from scratch in Python, comparing results with existing libraries, and enhancing your understanding.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

shiv0112/phishing_domain_detector

To predict whether the domains are real or malicious.

Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Soumilgit/XYZ-Bank-Customer-Churn-Predictor

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 32 - Forks: 1

iamnaveen1401/Titanic-Data-Using-Decision-Tree-Algorithm

A data science project leveraging the Seaborn Titanic dataset to analyze passenger characteristics and predict survival outcomes using a Decision Tree model.

Language: Jupyter Notebook - Size: 421 KB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Awais-Asghar/Early-Fault-Detection-for-Induction-Motor-Using-ML

An integrated MATLAB–ML system for early fault detection in induction motors. Detects six faults broken rotor bars, stator short, ground fault, overloading, eccentricity, and voltage imbalance using KNN and Decision Tree models for accurate, unified, and reliable predictive maintenance.

Language: MATLAB - Size: 15.8 MB - Last synced at: 9 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 1

MAHMOUD2ABDALLAH/family-members-segmentation

Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...

Language: Python - Size: 641 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

SermetPekin/random-forests-c Fork of andriidski/random-forests-c

Implementation of Random Forests model and decision trees in C

Language: C - Size: 274 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

CryAndRRich/npmod

Building a simple deep learning framework and some machine learning/deep learning models from scratch (pure Numpy and Pytorch)

Language: Python - Size: 447 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

milaan9/Python_Decision_Tree_and_Random_Forest

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 264 - Forks: 203

XingYihang1/Customer_churn_prediction_using_a_novel_meta-classifier

论文复现项目：基于Oracle元分类器的客户流失预测，复现相关论文研究成果，通过集成决策树、随机森林、XGBoost等多种机器学习算法，采用SelectKBest+GridSearchCV和Permutation Features Selection+BayesSearchCV两种特征选择和超参数优化策略增加基分类器池，实现堆叠集成和动态选择集成并提高Oracle元分类器的理论上限。

Language: Python - Size: 5.44 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

moon-hotel/MachineLearningWithMe

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品

Language: Jupyter Notebook - Size: 36 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 279 - Forks: 50

CrispenGari/ml-2023

💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 28 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

RaudahYasminG0/Classification-mini-project-loan

Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: 28 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2,425 - Forks: 341

Chandrashekar0123/Students_Passout_Predictions

This Repository consists of Students pass out or fail using Machine Learning Techniques.

Language: Jupyter Notebook - Size: 948 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 392 - Forks: 195

Venu5198/Proactive-fraud-detection-using-machine-learning

Proactive fraud detection with machine learning on synthetic PaySim data to predict fraudulent transactions using an end-to-end Python pipeline. 🐙

Language: Jupyter Notebook - Size: 752 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

greenfish77/gaenari

c++ incremental decision tree

Language: C++ - Size: 707 KB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 2

StarlangSoftware/Classification-CPP

Machine learning library for classification tasks

Language: C++ - Size: 64.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0

manseiracredit/Aula-8

Tarefa da Aula 8

Language: Jupyter Notebook - Size: 272 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

FrienDotJava/adult-census-income

[Deployed in Streamlit] A machine learning project classifying whether someone has income >$50K or <$50K using several models.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

MachineNeyarning/ClassifiersCommittee

Comitê de Classificadores | Projeto N1

Language: Jupyter Notebook - Size: 5.75 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

shariftasrik/ml-binary-classification-breastcancer

A machine learning project applying Decision Tree, Naïve Bayes, and K-Nearest Neighbors (KNN) classifiers to a breast cancer healthcare dataset for binary classification. Includes data preprocessing, model training, and performance evaluation using accuracy, precision, recall, and F1-score metrics.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

zinia94/ai-ethics-compas-bias-detection

Bias detection and mitigation in the COMPAS dataset using fairness-aware machine learning techniques.

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Priyanshu7639/Stock-Recommendation

This project is a Stock Market Recommendation built using Streamlit. It provides functionalities for time series forecasting and technical analysis. The dashboard includes features such as: Time Series Forecasting: Utilizes Facebook's Prophet library to predict future stock prices based on historical data.

Language: Python - Size: 959 KB - Last synced at: 21 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

gcasarin/Machine_Learning_Project-Titanic-Survival-Prediction

This project focuses on building a supervised machine learning model to predict passenger survival on the Titanic using Scikit-Learn library

Language: Jupyter Notebook - Size: 522 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sanjitchitturi/decision-tree-classifier

From-scratch Decision Tree Classifier in Python with entropy/Gini, visualization, and Iris dataset demo.

Language: Python - Size: 26.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

nirmal2i43a5/Automobile_Price_Prediction_System

This project aims to predict vehicle pricing based on various attributes related to design, performance, market conditions, and temporal factors.

Language: Jupyter Notebook - Size: 3.92 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

JsnEvt/DecisionTreeCls

Data Science - Árvores aleatórias - RandomForestClassifier

Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

fiffi14/Machine-Learning

ML supervised algorithms - Classification Decision Tree and Linear Regression with gradient descent

Language: Python - Size: 23.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

LeonardoStempfle/Trabalho-de-Conclusao-de-Curso-TCC

O repositório contém meu Trabalho de Conclusão de Curso: texto, script, bases de dados e a vizualiação de 3 imagens muito grandes para caber em uma página de PDF.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

thieu1995/mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Language: Python - Size: 4.48 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 86 - Forks: 25

RutujaS-2110/Project-02_Sustainable_Crop_Yield_Prediction_Machine_Learning

Sustainable Crop Yield Prediction using Machine Learning

Language: Jupyter Notebook - Size: 956 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

malihanawshin/Student-Stress-Predictor

A Streamlit web app that predicts student stress levels using machine learning. Built with scikit-learn and trained on the Student Stress Monitoring Dataset (Kaggle), it considers psychological, physiological, academic, environmental, and social factors.

Language: Python - Size: 305 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Freddy-Apaka/Finance_Prediction_model

This project was developed as part of my internship program with Xaltius Academy. The goal was to build and evaluate a machine learning model that predicts whether a loan applicant is likely to default. By using historical loan data, we aimed to support data-driven decision-making in financial services.

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

gaurav-budhwani/HAR-Human-Activity-Recognizer-ML

Machine learning model that can identify different human activities like walking, sitting, and running using data from an accelerometer. (Mini-Project from the course Machine Learning Fall 2025)

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

laurencior/Customer-Churn-Analysis

📊 Predict customer churn using machine learning techniques to enhance retention strategies for telecom and subscription-based businesses.

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

deepakachyutha/Titanic-ML

This Titanic Survical Prediction project applies Supervised Machine Learning to predict passenger survival from the Titanic dataset. It focuses on practical data preprocessing, binary classification, and foundational model evaluation.

Language: Jupyter Notebook - Size: 470 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ShubhamAIML/Heart-Disease-Prediction

A web-based Heart Disease Prediction Tool built with Python and machine learning.

Language: HTML - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

scify/Machine-Learning-Decision-Trees-Robot

A simple playground app to showcase the mechanisms of Machine Learning

Language: Vue - Size: 12.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AmirAAZ818/ML-Assignments-2024

This repository archives assignments from the Machine Learning course at the University of Kerman, completed in Fall 2024.

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

CamilaJaviera91/bagging-with-kaggle

Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).

Language: Python - Size: 523 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

iamademar/DecisionTree

This repository demonstrates a minimal, from-scratch implementation of a Decision Tree using the ID3 algorithm with entropy and information gain.

Language: Python - Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Bgajski/ML.NET.Classifier

ML.NET.Classifier is a .NET Windows Forms application that utilizes the ML.NET library to demonstrate binary and textual data classification process using relevant metrics and visual charts.

Language: C# - Size: 1.06 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nnaluiza/msc-code

Repository for my master's thesis code, focusing on deep learning and clustering

Language: Python - Size: 290 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

surabhipandey18/Introvert-Extrovert-prediction

Machine Learning project for Kaggle Playground Series S5E7 – Predicting personality types (Introvert vs Extrovert) using behavioral features. Includes EDA, model training (SVC, Gradient Boosting, Decision Tree), and leaderboard submission.

Language: Python - Size: 137 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AkashGupta2003/Credit_Card_Fraud_Detection

To analyse the credit card fraud and predict the Fraud Transaction

Language: Python - Size: 274 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

srpanna/Stroke_Prediction_Model

Predict stroke risk using patient data and real-time environmental factors with our advanced machine learning model. Explore the interactive dashboard on GitHub! 🐙🌍

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Man92777/ecommerce-churn-ml

Predict customer churn for the "One Click" online store with ClickGuard. Leverage machine learning to enhance retention strategies and boost loyalty. 🛒📊

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shraddha-r0/pgp-ml-ai-portfolio

A series of six hands-on projects completed during my PGP ML and AI academic training with UT Austin and Great Learning

Language: Jupyter Notebook - Size: 9.73 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

haroldeustaquio/Data-Mining-UNAM

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 7 - Forks: 2

Prabhakar200216/ml-project-2-customer-churn

A machine learning project that predicts customer churn using decision trees, random forest, and XGBoost.

Size: 148 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Prabhakar200216/Prabhakar-Mishra

A machine learning project that predicts autism using decision trees, random forest, and XGBoost.

Size: 333 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sushant1827/Human-Activity-Recognition-with-Smartphones

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3

Madhuri5002/Credit-Card-Fraud-Detection

Language: Jupyter Notebook - Size: 42.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

rufoabrahamguyo/Machine-learning-codes

machine learning codes

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

chiragRane-Projects/logitrack-backend

A production-grade FastAPI microservice that predicts whether a delivery will be delayed or not, based on delivery distance, weather condition, and time of day. This project is built to attract logistics companies by showcasing how ML can drive smarter delivery decisions.

Language: Python - Size: 14.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Ajeeb-Alameen/machine-learning

This repository contains machine learning projects from the Fundamentals of Machine Learning course at GUC.

Language: Jupyter Notebook - Size: 4.37 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

HokageM/MECHA-LUNG

End-to-end demo for lung-cancer risk prediction: a TypeScript/React client streams synthetic patient data, PostgreSQL stores it with field-level encryption, and a Python FastAPI service decrypts, trains a scikit-learn model, and serves real-time predictions—the server containerized with Docker-Compose.

Language: TypeScript - Size: 13.6 MB - Last synced at: 19 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Afsha001/fake-news-detection-ML

Fake news detection using Logistic Regression, Naive Bayes, Decision Tree, and SVM in Python.

Language: Jupyter Notebook - Size: 286 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

KUsmn/supervised-iris-classifier

Supervised learning workflow showcasing decision tree algorithm performance on multi-class classification with real-time data visualization and model diagnostics.

Language: Jupyter Notebook - Size: 92.8 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dpb24/customer-churn

🌐 Predicting Customer Churn with Decision Tree, XGBoost & Neural Network Models on the Cell2Cell Dataset

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Dalageo/ML-TitanicShipwreck

Exploring the World's Most Renowned Shipwreck 🚢

Language: Jupyter Notebook - Size: 990 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 2

Oduks/Customer-Churn-Prediction-Using-Dceisioon-Tree

In my first model, I am using Desicion Tree to predict customer churn. I achieved 99% accuracy which suggests overfitting and this is probably as a result of the cleaned data that was used

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jElhamm/Regression-Algorithms

"This repository serves as a comprehensive resource for understanding and applying Regression techniques in achine learning and statistical modeling."

Language: Python - Size: 1.09 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

EstevesX10/EIACD-Video-Games

Video Games Dataset Analysis [Elements of AI & DS Course Project]

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Rachelnk/Customer-Churn-Prediction-ML

This repository contains an analysis of customer data to predict customer churn for a telecommunications company that provides home phone and internet services

Language: Jupyter Notebook - Size: 604 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Mr-MH0001/am-algorithm

# am-algorithmA fast and accurate Rust utility for matching anime titles against messy inputs. This tool supports multiple languages and offers various matching strategies to ensure precision in identifying shows. 🦀✨

Language: Rust - Size: 9.77 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

rmodi6/linear-discriminant-trees

Linear Discriminant Decision Tree classifier implemented in Python

Language: Python - Size: 45.9 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

laurentinobezerra/cdt-model

Decision Tree Machine Learning model for fetal health classification using Cardiotocography (CTG) data.

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tasninanika/Mammographic-Masses-Analysis-DT

This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

swrno/credit-card-fruad-detection

This project is a credit card fraud detection system that uses machine learning to identify fraudulent transactions.

Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

chawthinn/campus-placement-prediction

This project uses the Kaggle competition dataset from the "ML with Python Course Project" to predict campus recruitment outcomes. It includes preprocessing, EDA, feature engineering, and model training using classification algorithms such as Logistic Regression, Decision Tree, and K-Nearest Neighbors.

Language: Jupyter Notebook - Size: 729 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

tasninanika/Decision_Tree_Classifier

A Decision Tree is a supervised machine learning algorithm that is used for classification and regression.

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

Lionzap/ML-From-Scratch

Explore ML-From-Scratch for clear Python implementations of key machine learning models. Understand algorithms without complexity. 🐍🌟

Language: Python - Size: 468 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

macielmk7/IMDB-Movie-Analysis

Analyze IMDB movie data with Python and pandas. Discover trends in ratings and genre popularity over time. 📊📈 Explore insights with ease.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AnveshanK/SML-Assignments

From-scratch implementations of PCA, FDA, LDA, QDA for MNIST classification, decision trees, ensemble methods (bagging, random forest), 5-fold cross-validation, AdaBoost, Gradient Boosting, and neural networks for binary classification—using only NumPy, Pandas, and Matplotlib.

Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Twistedfrost/best-of-ml-python

Explore the best machine learning libraries in Python. Stay updated with weekly rankings and contributions. Join the community! 🐙🌟

Size: 16 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

neelanshu7/Breast_Cancer_Prediction

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - 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: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

swarnabhaghosh/Titanic-Survival-Prediction-Model

Developed an end-to-end ML pipeline to predict Titanic passenger survival using Decision Tree and Random Forest classifiers with automated preprocessing in Scikit-learn.

Language: HTML - Size: 411 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

heozaeseok/prediction_of_employee_departures

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

Sarvesh-Yadav-5201/PROJECT-Higgs-Boson-Machine-Learning-Challenge

Higgs Boson Machine Learning Challenge use the ATLAS experiment to identify the Higgs boson.

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

jarif87/campus-placement-predictor

A smart Flask app that predicts campus placements and gives tips based on user input.

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

KIETOU1/sentimental-analysis

# Sentiment Analysis Web ApplicationThis web application analyzes text sentiment using TextBlob and features a sleek UI built with Next.js and Flask. Explore real-time insights and visualizations to understand sentiment trends easily. 🐙🌍

Language: TypeScript - Size: 794 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ShwetaPardhi0/Project-Bankruptcy_Prediction

Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company; Addressed the issue of imbalanced classes, different importance

Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

dpb24/fake-news-detector

📰 NLP: Fake News Detection using Classical Machine Learning

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

prathamesh693/02_Customer-Churn-Prediction-in-Telecom-Industry

🔍 Predict customer churn in the telecom industry using machine learning models like Decision Tree, XGBoost, and SVM. Includes data preprocessing, model training, evaluation, and a Streamlit app for interactive predictions.

Language: Jupyter Notebook - Size: 7.98 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

vyasdeepti/User-Purchase-Decision-using-Decision-Tree

This notebook demonstrates a complete machine learning workflow using a Decision Tree Classifier to predict user purchase decisions based on social network advertisements. The project illustrates each stage of the pipeline: data import, preprocessing, exploratory data analysis, model training, evaluation, and practical interpretation of the results

Language: Jupyter Notebook - Size: 420 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

kamlesh0928/machine-learning

This repository contains machine learning algorithms implemented from scratch and using scikit-learn, covering classification, regression, and clustering. Each algorithm is well-documented, with clear code and explanations. To use K-Medoids, install sklearn_extra via pip install scikit-learn-extra. Contributions are welcome!

Language: Python - Size: 199 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0