dpb24/fake-news-detector

📰 NLP: Fake News Detection using Classical Machine Learning

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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.

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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

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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!

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KeneanDita/Churnomally

Where churn meets anomaly. Churnomaly is not just a churn predictor, it's an early warning system for customer escape velocity. Blending classic churn modeling with outlier-hunting intuition, Churnomaly dives deep into behavioral signals to uncover the subtle shifts that precede goodbye. Think of it as a radar for retention.

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jeenakarmi/Riskify

A smart loan risk analyser with machine learning and a user-friendly UI to classify applicants as Risky or Non-Risky.

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Suji04/ML_from_Scratch

Implementation of basic ML algorithms from scratch in python...

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MicolZazzarini/MeteoCore Fork of lucabellantee/MeteoCore

A complete and autonomous embedded system for atmospheric data collection and rain prediction, powered by Zephyr RTOS and an onboard Machine Learning model running on the STM32-F446RE microcontroller.

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lucabellantee/MeteoCore

A complete and autonomous embedded system for atmospheric data collection and rain prediction, powered by Zephyr RTOS and an onboard Machine Learning model running on the STM32-F446RE microcontroller.

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kapilsinghnegi/Fake-News-Detection

This project detects whether a news is fake or not using machine learning.

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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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phonghust55/Card-fraud-detection

Language: Python - Size: 2.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

akhil-b-26/crop-fertilizer-recommendation-ml

An advanced machine learning-based system that analyzes soil attributes, weather conditions, and historical data to provide precise crop and fertilizer recommendations for farmers. This project aims to optimize crop selection, improve agricultural productivity, and promote sustainable farming practices.

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itachi9604/healthcare-chatbot

a chatbot based on sklearn where you can give a symptom and it will ask you questions and will tell you the details and give some advice.

Language: Python - Size: 64.5 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 247 - Forks: 160

SHASHANK123-code/heart-disease-prediction

ML model to predict cardiovascular disease

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mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

A text‐classification pipeline for identifying human‐ versus AI-generated responses using engineered linguistic/semantic features and PCA-reduced vectors; achieves ~85% accuracy with Logistic Regression, SVM, and MLP, and includes a fine-tuned bert-base-uncased model.

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raghavendranhp/Industrial_copper_modelling

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

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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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KellybLieu/UC_Berkeley_Module17_ComparingClassifiers

Practical Application 3. Assignment 17.1. Goal is to compare the performance of the classifiers, K Nearest Neighbor, Logistic Regression, Decision Trees, and Support Vector Machines utilizing a dataset related to marketing bank products over the telephone.

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anamolkhadka/decision-tree-rf-adaboost-titanic

Decision Trees, Random Forests, and AdaBoost implemented from scratch for Titanic survival prediction

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Dalbee/Decision-trees-for-Scandinavian-Cuisines-Prediction

Machine Learning on IBM Skills Network Labs. A place for you to practice the data science, machine learning, and AI skills you’re learning in your online courses. You have access to JupyterLab, Zeppelin, and RStudio preinstalled with Apache Spark and the necessary packages to learn new skills in Python, R, and Scala.

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kimaya012/Fake-News-Detection

This project detects whether a news is fake or not using machine learning.

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KasiMuthuveerappan/CAB-Ensemble-Learning-CHURN-Prediction

📘 This repository predicts OLA driver churn using ensemble methods—Bagging (Random Forest) and Boosting (XGBoost)—with KNN imputation and SMOTE. It reveals city-wise churn trends and key performance drivers, powering smarter, data-backed retention strategies for the ride-hailing industry.

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turgunbaevaa/machineLearningProject

A complete ML project that explores feature engineering, model training (Decision Tree, Random Forest, Gradient Boosting), and model interpretation using SHAP and LIME.

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rc-tests/ML

My First Machine Learning Model

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Pavan5698/Decision_Treee

Decision Tree Classifier | Jupyter Notebook | Supervised Learning | Machine Learning | Python | Scikit library

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Machine-Learning-Related-Projects/Real-Fake-Job-Post

Real-Fake-Job-Post

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pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

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StarlangSoftware/Classification-Cy

Machine learning library for classification tasks

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SHAIK-AFSANA/diabetespredictor

Built using Machine Learning models and deployed via MySQL and Streamlite, this diabetes predictor offers a comprehensive web platform for user authentication, data storage, and interactive access to diabetes-related information. This diabetes predictor aims to enhance early intervention, reducing diabetes-related complications.

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maheshvarade/Poland-Bankruptcy-Prediction

Poland Bankruptcy Prediction (2009) This project aims to predict whether a Polish company went bankrupt in 2009 based on its financial data. The dataset contains several features derived from companies' balance sheets, and the goal is to build models that can identify bankruptcy effectively — despite the challenge of high class imbalance.

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nasim-raj-laskar/HeatWave-EWS

A real-time IoT-based heatwave detection system using ESP32, DHT11, and a Django-powered web interface for monitoring and analysis.

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AhmedNasef3/Heart-Attack-Analysis-Prediction-ML-Model-With-Django

Website with django to predict using ML model if the person at low or high risk for Heart Attack

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havelhakimi/BankMarketing

Perform anomaly detection on Bank Marketing dataset

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somjit101/Human-Activity-Recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

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Mutsinz1/Churn_Prediction_Project

This project focuses on predicting customer churn using machine learning algorithms. By analyzing historical customer data, the model aims to identify patterns that indicate a customer is likely to stop using a service, enabling businesses to take proactive measures to retain valuable customers.

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somjit101/Facebook-Friend-Recommendation

This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.

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d47kumar/Biodiversity-Challenge

The objective of this data challenge is to predict the presence, or non-presence, of frog species at given locations in southeastern Australia.

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sushant1827/Machine-Learning-for-Predictive-Maintenance

Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.

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sAwAiRa-iQbal/ML-Project_Brain-Tumor-Classification-on-Images

🧠 Brain Tumor Prediction: Harnessing ML algorithms like Random Forest 🌲, SVM 🔍, and more to predict tumors from MRI scans effectively. Dive into data-driven insights and cutting-edge diagnostics! 🚀

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sAwAiRa-iQbal/Titanic-Survival-Prediction-Project

🚢 Discover Titanic insights through advanced visualizations and ML algorithms! 📊 Unveil patterns and predict survival to transform maritime safety. 🌊

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Coder0202/Cyberus---measuring-risk

Cyberus is a tool that checks the generic and emotive legitimacy of a message and provides an estimate of the risk based on the dataset on which it was trained, as well as certain machine learning models for quantitative risk prediction.

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summerolmstead/Animal-Classification-Decision-Tree

Animal classification decision tree model and visualization. Dataset provided by University of California Irvine.

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CaritoRamos/predictive-classification-model-in-python

This project applies Machine Learning classification models to predict customer acceptance of marketing offers using Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.

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nadhif-royal/DecisionTree_vs_RandomForest

🚀 Enhancing Classification Accuracy with Decision Tree & Random Forest. I just completed a project exploring Decision Tree and Random Forest for classification tasks! 🎯 This project compares the performance of both models, analyzes key feature importance, and evaluates accuracy using metrics like the confusion matrix.

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Khushi-s1/Credit-Card-Fraud-Detection

Created a project of Credit Card Fraud Detection using Machine Learning.

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2021HK/Credit-Card-Fraud-Detection

Created a project of Credit Card Fraud Detection using Machine Learning.

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JenithaLessie/Machine-Learning-Classification

Our client, a grocery retailer, wants to utilise Machine Learning to reduce mailing costs, and improve ROI!

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carlpecardal/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.

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vignesh1507/AI-Medical-Chatbot

This project is simply a symptom checker and i believe we tried to accomplish that successfully. This project can be scaled more and we are continuously working upon it.

Language: Python - Size: 108 KB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 3

chihiroanihr/COMP472-A1_F2021

This COMP472 AI project implements text classification on BBC news articles and drug classification using various machine learning algorithms. It utilizes Python and scikit-learn to preprocess data, train models, and analyze performance, focusing on Naive Bayes, Decision Trees, and Neural Networks.

Language: Python - Size: 6.94 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

21AJA/House_Price_Prediction_Revised_Project

House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.

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maheshvarade/Tree-Based-Algorithms-on-loan-data

Loan Risk Prediction Implemented RandomForestClassifier, which provided the best results compared to Gradient Boosting.Car Ownership Prediction (Using Same Data) Compared multiple models.House Ownership Prediction Followed the same pipeline for predicting House Ownership.

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StarlangSoftware/Classification

Machine learning library for classification tasks

Language: Java - Size: 2.03 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 7 - Forks: 6

maheshvarade/decision-tree-for-classification-of-penguins-species

🐧 Decision Tree for Classification of Penguin Species This project implements a Decision Tree Classifier to classify different species of penguins using the Palmer Penguins dataset. The dataset contains features such as bill length, bill depth, flipper length, and body mass to predict the species (Adelie, Chinstrap, or Gentoo).

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manishdevdi/Loan-Approval-Prediction

The Loan Approval Prediction project uses machine learning to predict loan approvals based on factors like income, credit history, and loan amount. It applies Decision Tree and Random Forest classifiers, achieving 98.13% and 97.42% accuracy, respectively. This solution helps financial institutions make informed lending decisions efficiently.

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ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques

This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.

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fs23yayan/MiniProject-DecisionTreeClassifier

Mini Project for Implementasi Decision Tree dengan CART

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Sumair555/Email-Classification-Spam-or-Ham

The challenge is to accurately separate spam emails from regular ones using techniques from machine learning models.

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falakrana/Disease-Prediction-using-ML

This project is designed to assist in early diagnosis by predicting potential diseases based on user-provided symptoms.

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hadiMahd/ML_uni_project

my ml project with the guidance of my Dr Fakih at LIU, i used pandas numpy sklearn imblearn matplotlib seaborn

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FlorentAvellaneda/InferDT

The code of AAAI20 paper "Efficient Inference of Optimal Decision Trees"

Language: C++ - Size: 1.18 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 5

coderjolly/credit-risk-modelling

The aim of the project is to create a robust machine learning model that predicts the likelihood for a bank's customers to fail on their credit payments for the next month. The dataset used contains information on 24028 customers across 26 variables that includes information regarding whether customer defaulted, credit limits, bill history etc.

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abeed04/Bank-Credit-Risk-Model-using-Machine-Learning

Robust credit risk model that go beyond traditional credit scoring methods in banks

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philiptitus/Stroke-Prediction

This Project utilizes 3 Decision Tree Algorithms to make stroke Prediction models

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shubh-iiit/flight-fare-prediction

This is a end to end Data Science project where the task is to predict the Fare of the flights (Indian Only). Data is in the form of Excel spreadsheets, one is for training purpose and the other is for testing.

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theDefiBat/ROAD-ACCIDENTS-PREDICTION-AND-CLASSIFICATION

Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

Language: HTML - Size: 8.17 MB - Last synced at: 8 months ago - Pushed at: about 6 years ago - Stars: 79 - Forks: 36

Tolumie/Loan-Approval-Prediction

Loan Approval Prediction using Machine Learning | EDA + Decision Tree, Random Forest & Logistic Regression | Automating loan eligibility for Dream Housing Finance by analyzing customer data and predicting loan approvals.

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mardavsj/mushroom-classification

This repository classifies mushrooms as poisonous or edible using various machine learning algorithms

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Foxriver-2005/Tea-Farm-Fertilizer-Prediction-issuing-System

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mayankmittal29/AlgoVision-Statistical_Methods_in_AI

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

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Ananyajain2004/Fake-news-detection

A python project for detecting fake news using machine learning algorithms.

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jaimyjoker/Churn-Modeling-Classification

This repository contains a Churn Classification model built using TensorFlow and an Artificial Neural Network (ANN) to predict customer churn. A Streamlit interface allows users to interact with the model and visualize predictions.

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sadikurrahamanfahim/DataVize

Web Based application with various operations for data science

Language: Python - Size: 18.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

swarnava-96/Rainfall-Prediction

A Flask web app which predicts whether it will rain tomorrow or not.

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sarmadahmad8/Book-Recommender-System-using-classical-ML-techniques

Book Recommender System - 5 approaches

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Chenna7893/Enhancing-Customer-Retention-A-Machine-Learning-Approach-to-Churn-Prediction

Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.

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nikita620/Churn-Prediction-Using-Machine-learning-

Major project on Python and AI

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spignelon/Letter-Recognition_Project-ML

A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.

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mohiteamit/ticket-classification

Banking Ticket Classification | Natural Language Processing | UpGrad | IIITB

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nageswarik29/Fake-News-Detection

This project focuses on detecting fake news using machine learning algorithms such as Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and Gradient Boost Classifier. It preprocesses text, extracts features with TF-IDF, and evaluates performance using accuracy, precision, recall, F1 score, and support.

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ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 2

FaraazArsath/Ensemble_techniques_breast_cancer_detection

Ensemble Learning Techniques - Breast Cancer Classification

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madhurragarwal/Cross-Sell-using-Heath-insurance-dataset-

Leverage health insurance data with machine learning to cross-sell vehicle insurance, analyzing customer profiles for personalized offerings, optimizing sales, and enhancing customer satisfaction.

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innat/Py4-DS

:snake: Data Science Boot-Camp : UC San DiegoX

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PragyanTiwari/Breast-Cancer-Prediction-with-DecisionTree-Classifier

DecisionTree Classifier to predict breast cancer. Tuning model with feature engineering techniques and interpreting model behaviour with SHAP.

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Maguids/Decision-Tree-Classifier

This project consists on creating a Decision Tree Classifier using ID3 (entropy based). Second Semester of the Second Year of the Bachelor's Degree in Artificial Intelligence and Data Science.

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StarlangSoftware/Classification-CS

Machine learning library for classification tasks

Language: C# - Size: 1.27 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

ArseniiStratiuk/Decision-Tree-Classifier-Lab

A student lab project focused on tree algorithms and a Decision Tree classifier.

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Monish-Nallagondalla/Universal-Bank

Credit Card Ownership Prediction A machine learning project that predicts credit card ownership using features like age and income, balancing class distributions for improved accuracy.

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kbasu2016/Autism-Detection-in-Adults

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

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mdiaz683/KNN-vs-DT

Applying KNN and Decision Tree machine learning algorithms for classification tasks, comparing their performance on the same dataset

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sanjitchitturi/BeatBranch

BeatBranch is a machine learning project that uses a decision tree classifier to predict music genres from audio feature data.

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galihpraditya/customer-churn-prediction

This project focuses on predicting customer churn in the telecom industry using machine learning. Customer churn, or the rate at which customers stop using a service, is a critical metric for businesses. By predicting churn, companies can take proactive measures to retain customers and improve customer satisfaction.

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sanyogita/b2b_retailer_group_study

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ahmedamrelhefnawy/Customer-Segmentation

Customer Segmentation Machine Learning Project

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hasanhammad/NLP-Final-Project

This repository contains code and dataset used in the final project of the NLP course in Iran University of Science and Technology

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ketrinnatasya21/Python_Classification_BreastCancer

This project evaluates classification algorithms for breast cancer prediction using the Breast Cancer (Diagnostic) dataset. It compares the performance of Decision Tree, Random Forest, Logistic Regression, and Naive Bayes to classify cancer as malignant or benign.

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rooshmica/Rice-Grain-Species-Prediction-

Rice Grain Species Prediction using Decision Tree

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parthk3004/Quizzaro

Quizzaro The Personality Quiz

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