https://github.com/roclark/clarktech-ncaab-predictor

A machine learning project to predict NCAA Men's Basketball outcomes

basketball basketball-stats machine-learning prediction python randomforest

Last synced: 10 Jun 2025

https://github.com/njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

broom decision-trees gbm machine-learning randomforest rpart rstats statistical-learning

Last synced: 21 Mar 2025

https://github.com/brandmaier/semtree

Recursive Partitioning for Structural Equation Models

bigdata cran decision-tree forest multivariate r randomforest recursive-partitioning sem statistical-modeling structural-equation-modeling structural-equation-models

Last synced: 07 Apr 2025

https://github.com/rohitinu6/neolung

Lung Cancer Prediction using Machine Learning Algorithms

adaboost data-analysis decision-trees gradientboosting knn logistic-regression machine-learning naivebayes neuralnetworks python randomforest scikit-learn svm xgboost

Last synced: 31 Oct 2025

https://github.com/erdogant/treeplot

Plot tree based machine learning models

gradient-boosting machine-learning plot pypi python randomforest tree-structure treeplot xgboost

Last synced: 26 Feb 2026

https://github.com/imharshag/fake-news-detection-using-ml

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

classification-algorithm confusion-matrix css decision-trees django html logistic-regression machine-learning randomforest regression-algorithms supervised-learning

Last synced: 23 Apr 2025

https://github.com/sreevathsagolla/sars-coronavirus-bioactivity-prediction

This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).

ai bioinformatics coronavirus covid-19 drug-discovery jupyter-notebook machine-learning machinelearning python randomforest sars-cov-2 svm svm-classifier

Last synced: 10 Mar 2026

https://github.com/vidhi1290/lung-cancer-detection-app

🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩‍⚕️🌟 #AIHealthcare #LungCancerDetection

artificial-intelligence cancer-detection datascience datascience-machinelearning kaggle lungcancer machine-learning machine-learning-algorithms numpy pandas python randomforest

Last synced: 08 May 2026

https://github.com/namratha2301/intrusiondetection

Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset

decisiontree gradient-boosting intrusion-detection mlp-classifier naive-bayes-classifier nsl-kdd randomforest scikit-learn

Last synced: 22 Feb 2026

https://github.com/dleedev365/two-sigma-connect-rental-listing-inquiries

[CMPT 459 Special Topics in Database Systems: Data Mining] A data mining/machine learning project aimed to recommend features to renters to attract more people to their listings on RentHop website. Use SVM, RandomForest, Logistic-Regression, KNN, Decision Tree, and Naive Bayes.

data-mining decision-tree knn logistic-regression machine-learning naivebayes randomforest svm

Last synced: 12 May 2026

https://github.com/pradeish29/cloud-burst-predict-streamlit

cloud burst prediction website rendered using streamlit from a pretrained ml model

cloudburst cloudburst-prediction jupyter-notebook ml openweathermap-api prediction-model python rainfall-prediction randomforest streamlit

Last synced: 07 May 2026

https://github.com/aberhrml/forestcontrol

Approximate False Positive Rate Control in Selection Frequencies for Random Forest

randomforest

Last synced: 22 Oct 2025

https://github.com/borealisai/probforest

Differentiable relaxations of tree-based models.

autograd lightgbm pytorch randomforest tree xgboost

Last synced: 27 Apr 2026

https://github.com/girishp92/supervised-learning-with-heterogenous-data-using-random-forest-algorithm

This was a group project where we are comparing the effectiveness of supervised learning using various multivariate data sets and i was involved doing so using Random Forest Model. I implemented the feature importance of various predictor variables and how it effects the error rate(RMSE). I used the Student Performance Dataset to show the importance of various predictor variables. I implemented it in Python using various libraries like Numpy, Scipy, Scikit-learn, pandas, matplotlib and seaborn packages for plotting the figures.

machine-learning-algorithms project python randomforest umassdartmouth

Last synced: 08 Jun 2026

https://github.com/huseyincenik/machine_learning

classification cross-validation decision-tree decision-trees gridsearchcv knn knn-classification linear-regression linearregression logistic-regression machine-learning machine-learning-algorithms machine-learning-library machinelearning machinelearning-python random-forest randomforest regression regression-models unsupervised-machine-learning

Last synced: 16 Oct 2025

https://github.com/hasanfadhlillah/spotify-music-recommendation-system

Music recommendation system that leverages the power of machine learning to provide personalized music suggestions based on user preferences. Using a hybrid approach combining K-Means Clustering and Cosine Similarity.

ai clustering cosinesimilarity cosinesimilarity-pca-randomforest crossplatform dataanalysis datavisualization kmeans machinelearning musicrecommendation musictech pca python randomforest recommendersystem spotify tiktok youtube

Last synced: 13 May 2026

https://github.com/monzerdev/fake-news-detection

A robust fake news detection system leveraging machine learning models (SVM and Random Forest) to identify political misinformation. Includes preprocessing, training, and evaluation scripts with datasets available for download.

datapreprocessing fakenewsdetection linearsvc machinelearning naturalanguageprocessing nlp python randomforest svm textclassification

Last synced: 21 Jan 2026

https://github.com/laura-projects-work/price-prediction

Price prediction.

elasticnet gridsearch lightgbm mean randomforest svr xgboost

Last synced: 24 Apr 2026

https://github.com/mariarodr1136/frauddetectionsystem

FraudWatch is a machine learning-based credit card fraud detection system that uses a Random Forest classifier. It visualizes model performance with an interactive confusion matrix heatmap. The system is deployed as a user-friendly Flask web application. 📊

creditcardfraud dataanalysis datascience financialsecurity flaskapp frauddetection fraudprevention interactivedashboard machinelearning randomforest

Last synced: 12 Mar 2026

https://github.com/mindful-ai-assistants/2-social-buzz-ai-gboost-and-lowdefault-modeling

2-Gradient Boosting Machines and Low-Default Modeling: A repository for research, implementation, and best practices with Gradient Boosting methods (GBM, XGBoost, LightGBM), H2O AutoML, and robust strategies for modeling extreme class imbalance ("Low Default") in data science for finance and risk.

anomaly-detection auto-machine-learning credit-risk disease-prediction financia-lmodeling fraud-detection gbm gradientboosting h2o imbalanced-data lightgbm low-default-modeling machinelearning model-interpretability natural-language-processing oneness-consciousness randomforest risk-analytics smote xgboost

Last synced: 09 Oct 2025

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/mohammad95labbaf/churn-prediction

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

adaboost bagging churn churn-analysis churn-prediction decisiontree ensemble-learning knn randomforest scikit-learn sklearn svm voting

Last synced: 23 Jan 2026

https://github.com/sahraiidle/email-spam-detector

Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.

data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm

Last synced: 24 Jan 2026

https://github.com/nicklitwinow/kaggle-titanic

This project tackles the Kaggle Titanic challenge. The objective is to build a predictive model to determine which passengers survived the Titanic disaster based on various features such as passenger class, age, gender, and other attributes. The project covers data cleaning, preprocessing, exploratory data analysis, and model building.

datapreprocessing eda featureengineering kaggle machinelearning python randomforest

Last synced: 15 Apr 2026

https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment

aws aws-cloudformation aws-ec2 decisiontreeregressor deployment lassoregression linearregression modeldeployment python3 randomforest regression regression-models ridgeregression streamlit streamlit-webapp xgboost

Last synced: 11 Apr 2026

https://github.com/imvision12/car-price_prediction

Predicting car prices using RandomForest, catboost and xgboost classifiers

catboost hyperparameter-tuning randomforest xgboost

Last synced: 05 Jun 2026

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 27 Apr 2026

https://github.com/arya-io/ipl-run-chase-prediction

This model predicts the winning probabilities for both teams during the second innings of an IPL match.

cricketanalysis cricketstats cricsheetdata datascience ipl2023 kaggledataset logisticregression machinelearning opensource predictivemodeling python randomforest runchaseprediction sportsanalytics

Last synced: 24 Apr 2026

https://github.com/alunera-data/animal-shelter-ml

edX Capstone Project: ML-based prediction of shelter animal outcomes using R and Random Forest

animal-shelter capstone caret classification eda edx machine-learning ml r randomforest tidyverse visualization

Last synced: 22 May 2026

https://github.com/kush1912/text-classification

This is one of the Projects which was done in interest to learn the difference between the different classification algorithm and derive a solid conclusion from that. It scrap sthe data from youtube and related to six different classes and then by using different classification algorithm it classifies them.

beautifulsoup4 naive-bayes-algorithm neural-network randomforest selenium-webdriver svm-classifier text-classification tfidf-vectorizer webscrapping xgboost-algorithm youtube

Last synced: 09 Apr 2026

https://github.com/somenath203/gold-price-prediction

Click below to visit the website live

antd axios fastapi gold-price gold-price-prediction matplotlib pandas randomforest randomforestregressor react reactjs seaborn

Last synced: 05 May 2026

https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost

Last synced: 17 Jan 2026