Projects in Awesome Lists tagged with randomforestclassifier

https://github.com/mainakrepositor/diabetes-prediction-system

Predict Diabetes and its possibility of occurrence from the pathological lab reports on your own.

data-science dataset-generation decision-tree-classifier diabetes-prediction multipage-application randomforestclassifier slider-component streamlit-webapp visualization webapplication

Last synced: 02 Aug 2025

https://github.com/cecivieira/cotas-genero-eleicoes-e-proposicoes-legislativas

Análise de dados sobre cotas de gênero e seu impacto nas eleições e proposições legislativas da Câmara dos Deputados Federais entre 1934 e 2021. Parte do TCC da pós-graduação em Inteligência Artificial e Aprendizado de Máquina na @pucminas

dataanalysis pandas preprocessing-data python randomforestclassifier

Last synced: 20 Sep 2025

https://github.com/dataspieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

anova-analysis anova-test beautifulsoup lasso-regression machine-learning-algorithms matplotlib matplotlib-pyplot monte-carlo-methods nltk-python numpy-library pandas-library polynomial-regression randomforestclassifier randomforestregressor ridge-regression scikitlearn-machine-learning scipy sckit-learn seaborn t-distribution

Last synced: 10 Jun 2025

https://github.com/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

classificationreport correlation-analysis dataanalysis decision-tree-classifier exploratory-data-analysis feature-engineering feature-selection gradientboosting hyperparameter-tuning joblib lgbmclassifier logistic-regression machine-learning modelselection pandas randomforestclassifier randomsearchcv shap smote xgboost-classifier

Last synced: 23 Apr 2025

https://github.com/dvilaverde/sklearn2java

A parser for scikit-learn exported text models to execute in the Java runtime.

decision-tree decisiontreeclassifier java machine-learning ml random-forest randomforestclassifier sci-kit scikit scikit-learn scikitlearn-machine-learning sklearn

Last synced: 28 Apr 2025

https://github.com/esvs2202/credit-card-fraud-detection-system

This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.

azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn

Last synced: 08 Mar 2025

https://github.com/uni-creator/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.

aiinhealthcare datascience datavisualization decisiontreeclassifier featureengineering healthcareai knn logisticregression lungcancerprediction machinelearning medicalanalysis naivebayesclassifier python randomforestclassifier scikitlearn svm-classifier

Last synced: 21 Mar 2025

https://github.com/vedanty3/heart-disease-prediction

This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)

confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery

Last synced: 13 Oct 2025

https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19

Last synced: 06 Apr 2025

https://github.com/5hraddha/interconnect

Interconnect : Clients Churn Prediction using ML

decisiontreeclassifier dummyclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler

Last synced: 07 Apr 2025

https://github.com/nouranhaitham/ml_waterquality

A notebook aimed at predicting and improving water safety by analyzing contaminants and pollution levels in water sources, enhancing public health and ensuring access to clean drinking water.

classification-models cleansing-data dataprocessing dataset decision-trees gridsearchcv hyperparameter-tuning logistic-regression machine-learning prediction python randomforestclassifier regression-models water-quality

Last synced: 04 Mar 2025

https://github.com/jayita11/defaulter-credit-card-prediction_ml

This project predicts credit card defaults using machine learning. The XGBoost model, optimized with under-sampling, was the best performer, effectively handling class imbalance and achieving strong recall and accuracy.

classification exploratory-data-analysis logistic-regression machine-learning matplotlib python randomforestclassifier seaborn svc xgboost-classifier

Last synced: 23 Jul 2025

https://github.com/nadiduno/dataclientai

Python application using artificial intelligence using LaberEnconder, KNeighborsClassifier and RandomForestClassifier

ai arvore-de-decisao ia kneighborsclassifier knn laber-enconder previsoes python randomforestclassifier

Last synced: 22 Mar 2025

https://github.com/dineshthapax/big-data-management-project

This project includes both Diabetes Prediction using Machine Learning Algorithms and Graph Analysis using Neo4j. Have a look at the Report for complete understanding.

apache-spark bigdata classification-techniques clustering-algorithm dataanalytics gaussian-mixture-models gradientboostedtrees graphanalytics logistic-regression machine-learning neo4j randomforestclassifier

Last synced: 17 Sep 2025

https://github.com/morsalinislamshapon/diabetes-prediction-systemv3

This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟

jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp

Last synced: 29 Jul 2025

https://github.com/fatimaafzaal/diabetesprediction

This is a diabetes prediction system using Random Forest classifier and Flask framework.

diabetes diabetes-prediction flask flask-application html machine-learning python randomforestclassifier visual-studio-code

Last synced: 05 Mar 2025

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 06 Mar 2025

https://github.com/felixodette/churn-prediction-telco

Churn Prediction on a Telecommunication Dataset

cusotmer-churn decisiontreeclassifier prediction randomcv randomforestclassifier visualization xgboost

Last synced: 26 Feb 2025

https://github.com/mohammadreza-mohammadi94/alzheimer-risk-assessment-webapp

This repository is a web app that predicts Alzheimer's Disease risk using patient data. Powered by an ANN, it provides an easy-to-use interface for quick assessments.

alzheimer-disease-prediction artificial-neural-networks randomforestclassifier xgboost-classifier

Last synced: 16 May 2025

https://github.com/halacoded/riskintel

machine learning model (RandomForestClassifier) that predicts whether a customer is "risky" or "not risky" based on various features

classification coded kuwait machine-learning random-forest-classifier randomforestclassifier

Last synced: 02 Jul 2025

https://github.com/dataspieler12345/ml-with-python

Python Machine Learning Projects | Hands-on Experience...

logistic-regression machine-learning onehot-encoder python randomforestclassifier

Last synced: 16 Mar 2025

https://github.com/jovinull/signai-libras-randomforest

Este projeto visava criar um sistema de reconhecimento de sinais de Libras em tempo real, utilizando técnicas de aprendizado de máquina e visão computacional. Inicialmente, foi empregada a detecção de mãos com o MediaPipe Hands e a classificação dos sinais com RandomForestClassifier.

ai mediapipe-hands randomforestclassifier recognition

Last synced: 03 Sep 2025

https://github.com/gregoritsch3/ml_eda_classification_goldpriceprediction

An EDA and Machine Learning Classification project on the IAU Gold ETF demonstrating the use of yfinance, stockstats, Time Series Split, Feature Expansion (SMA, EMA, lagged features, RSI-14, CL=F Close Price, etc.), Model Evaluation and Hyperparameter Tuning. The model predicts Gold price movement (1-up, 0-down) on a weekly basis and performs well.

price-prediction quantitative-finance randomforestclassifier scikit-learn yfinance

Last synced: 20 Feb 2025

https://github.com/gakas14/classification_projects

Classification systems

classification logistic-regression randomforestclassifier svm-training

Last synced: 20 Feb 2025

https://github.com/j0em05/ds.website_pishing_classification

website classification with RandomForestClassifier

classification python3 randomforestclassifier

Last synced: 26 Mar 2025

https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment

Last synced: 06 Jul 2025

https://github.com/johannaschmidle/churnpredictionmodel

Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)

customer-churn-prediction eda knearest-neighbor-classifier logistic-regression machine-learning randomforestclassifier svc-model xgboost-classifier

Last synced: 28 Feb 2025

https://github.com/oriolpalacios/datacamp-rentaldvdinfo-project

DVD Rental Prediction leverages regression models to forecast rental duration, guiding optimal inventory management for DVD rental companies. It combines data visualization, feature engineering, and model evaluation within a Jupyter Notebook to deliver actionable insights.

adaboostclassifier gradient-boosting randomforestclassifier sklearn-library

Last synced: 11 Oct 2025

https://github.com/yaminibhole/human-stress-detection-system

Human Stress Detection System: An interactive platform using a RandomForestClassifier to predict stress levels from physiological and environmental data, offering personalized predictions, tailored recommendations, and real-time support through an AI assistant.

google-generative-ai machine-learning python randomforestclassifier sqlite3 streamlit

Last synced: 19 Oct 2025

https://github.com/aleksdrophunter/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition data-analysis data-science data-visualization employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 15 Jun 2025

https://github.com/reekrajroy/diabetes_prediction

Diabetes Prediction

decisiontreeclassifier ipynb-jupyter-notebook randomforestclassifier

Last synced: 26 Oct 2025

https://github.com/aminkhavari78/data-science-handbook-

working with some of basic and advance machine learning in scikit-learn

classification gaussian-processes kernel-svm linear-regression maniflod naive-bayes plotting randomforestclassifier regression support-vector-machine

Last synced: 12 Mar 2025

https://github.com/falakrana/disease-prediction-using-ml

This project is an AI-powered web application that predicts diseases based on user-input symptoms. It uses Machine Learning algorithms like Random Forest, Decision Tree, and Naïve Bayes to provide accurate predictions. The system features a Flask backend, a React.js frontend, and ensures user privacy by not storing searches.

decision-trees flask ml naive-bayes-classifier randomforestclassifier reactjs svm-classifier

Last synced: 28 Jun 2025

https://github.com/falakrana/vehicle-price-prediction

Developed a machine learning-powered web app to predict vehicle resale prices based on make, year, kilometers driven, fuel type, etc. The backend is powered by Flask, with MongoDB Atlas for user authentication and a secure login system.

machine-learning mongodb-atlas python randomforestclassifier

Last synced: 09 Apr 2025

https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 11 Jul 2025

https://github.com/shankhadweep/diabetes-prediction-systemv3

This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.

jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp