randomforestclassifier
There are 178 repositories under randomforestclassifier topic.
francescopatane96/Computer_aided_drug_discovery_kit
This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.
prateekagrawaliiit/100-Days-of-ML
The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning
emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
MattiaRaffa/RF-VDA-landslide-map
Modello Random Forest per la creazione di una mappa di suscettibilità da frane superficiali // // Tesi di Laurea Magistrale in Scienze della Terra (Geologia Applicata) - Università degli Studi di Milano
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
DataSpieler12345/python-for-ds-ml
My Python learning experience 📚🖥📳📴💻🖱✏
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
FaezehAbedi2023/Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models
This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.
Pradnya1208/Credit-card-fraud-detection-using-ensemble-learning-predictive-models
The Aim of this project is used to identify whether a new transaction is fraudulent or not.
AM-mirzanejad/Heart-Failure-Prediction
The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.
KarthikMurugadoss1804/Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
mb16biswas/fullstack_heart_discease_prediction_app
It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js
prabormukherjee/ML_visualizer
Machine learning model Visualizer in web using streamlit
sharathnirmala16/btc-ml-epat-project
Exploring the effectiveness of Random Forests in developing intraday trading strategies using existing technical indicators for the Bitcoin-US Dollar (BTC-USD) pair.
SwatejPatil/Fake-Currency-Detection
Identification of fake currency is a challenging problem for all. Fake banknotes are becoming more and more identical to the real ones. In this Fake Currency Detection model, I have used multiple machine learning algorithms to determine fake or real banknotes and was able to achieve more than 90% accuracy.
Aysenuryilmazz/hr_analytics_ML
ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/
dvilaverde/SkLearn2Java
A parser for scikit-learn exported text models to execute in the Java runtime.
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.
iamkirankumaryadav/SMS-Classification
Natural Language Processing
jposyluzny/ENSF612Project
Repository for the ENSF 612 final project.
maede43/ensemble-learning-lfw
Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier
MafikengZ/NLP-Tweet-Sentiment-Ananlysis
Build a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data
5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
Abhishekkohli/Titanic-Disaster-Classification-ML
TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.
AlaaMahmoud95/Heart-Failure-Prediction
Classification Machine Learning project
Ali-jalil88/-Bank-Marketing-Machine-Learning
Bank Marketing Classifcation machine learning using 6 Models each of models given another accuracy
EmalIsmail/Predict-The-Stock-Market-With-Machine-Learning-And-Python-s-library-sklearn--RandomForestClassifier-
Predict tomorrow's S&P 500 index price using historical data. The data analysis has been preformed mainly using Jupyter Notebook and Python Machine Learning library of sklearn -RandomForestClassifier
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.
JessicaaaJe/CardioRenal-Disease-Prediction-using-classification-
This project uses classification techniques (KNN, Random Forest) to predict the presence of heart and kidney diseases. (dataset included)
musfiquejim/EnACP-A-Hybrid-Machine-Learning-Framework-for-Detecting-Anticancer-Peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
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.
Raj0707/Ai-Doctor-Assistent
Ai Doctor Assistant is Ai Programmed web site to Detect health related Problems using Ai , This is My final year Project
tejasayya/Alzheimer-s-Disease-Analysis
A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?
vsatyakiran/Smart-Harvest
It is a crop recommendation and fertilizer recommendation system, which is developed using machine learning algorithm (Random forest classifier)