randomforestclassifier

There are 0 repository 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.
biotechnology cancer-research chemical-descriptors chemoinformatics computational-drug-discovery descriptors drug-discovery drug-repurposing fingerprints machine-learning padel padel-descriptors pharmacoinformatics randomforestclassifier
Language:Jupyter Notebook 23
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
dataset titanic-dataset optuna randomforestclassifier prediction
Language:Jupyter Notebook 16
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
machine-learning machinelearning machine machine-learning-algorithms machine-learning-library machine-learning-models machine-learning-projects machine-learning-tutorials decision-trees decision-tree decision-tree-classifier decision-tree-regression decision-tree-algorithm randomforest randomforestregressor randomforestclassifier random-forest random-forest-classifier random-forest-regression random-forest-regressor
Language:Python 13
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
applied-geology aspect forest geologia geologia-applicata geologic-mapping geology gis landslide landslide-susceptibility-mapping mapping oob-error python random random-forest randomforestclassifier scikit-learn scikitlearn-machine-learning susceptibility tree
Language:Python 13
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
python pandas randomforestclassifier dataanalysis preprocessing-data
Language:Jupyter Notebook 9
DataSpieler12345 / python-for-ds-ml
My Python learning experience 📚🖥📳📴💻🖱✏
beautifulsoup matplotlib-pyplot numpy-library pandas-library scipy sckit-learn seaborn scikitlearn-machine-learning machine-learning-algorithms anova-analysis monte-carlo-methods t-distribution anova-test matplotlib randomforestclassifier randomforestregressor polynomial-regression ridge-regression lasso-regression nltk-python
Language:Jupyter Notebook 7
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
Language:Jupyter Notebook 6
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.
algotrading backtesting cryptocurrency python randomforestclassifier
Language:Jupyter Notebook 6
a3X3k / Spam-Email-Detection
machine-learning python spam-classification machinelearning knn-classifier logistic-regression svm-classifier decision-tree-classifier random-forest-classifier naive-bayes-classifier gradient-boosting extratreesclassifier xgboost-algorithm bagging-ensemble adaboostclassifier knn-classification knn-model svm-kernel svm-model randomforestclassifier
5
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.
matplotlib numpy pandas python scikit-learn accuracy-score confusion-matrix correlation-matrix decisiontreeclassifier f1-score histograms precision-score preprocessing-data randomforestclassifier recall-score smote-oversampler smote-sampling svm-classifier
Language:Jupyter Notebook 5
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.
credit-card-fraud classification-algorithm ensemble-learning xgboost-algorithm lightgbm-classifier randomforestclassifier feature-importance
Language:Jupyter Notebook 5
reknahs / Rubiks-Cube-Inference-Model
color-classification image-classification image-processing machine-learning randomforest-classification randomforestclassifier
Language:Python 4
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.
jupyter-notebook numpy pandas python randomforestclassifier scikit-learn-python svm machine-learning
Language:Jupyter Notebook 3
KarthikMurugadoss1804 / Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
linearsvc kneighborsclassifier decisiontreeclassifier logisticregression gaussian-naive-bayes-implementation randomforestclassifier adaboostclassifier python3 machine-learning-algorithms pandas scaling-methods outlier-detection imbalanced-data exploratory-data-analysis research
Language:Jupyter Notebook 3
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
react flask kneighborsclassifier logisticregression randomforestclassifier
Language:Jupyter Notebook 3
prabormukherjee / ML_visualizer
Machine learning model Visualizer in web using streamlit
visualizer heroku streamlit cloud-hosting logisticregression randomforestclassifier svc-svm
Language:Python 3
sorna-fast / fraud-detection
Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC
adaboostclassifier eda gradientboostingclassifier imblearn lgbmclassifier matplotlib-pyplot numpy pandas-dataframe pickle-file plotly-express randomforestclassifier scipy-stats seaborn-plots sklearn-library streamlit-webapp xgbclassifier
Language:Jupyter Notebook 3
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.
ml logistic-regression randomforestclassifier
Language:Jupyter Notebook 3
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/
boosting-algorithms extratreesclassifier randomforestclassifier lightgbm xgboost adaboost catboost gradient-boosting t-test bagging-ensemble bootstrapping decision-trees naive-bayes-classifier knn logit
Language:Jupyter Notebook 2
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
Language:Java 2
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
Language:Jupyter Notebook 2
iamkirankumaryadav / Evaluation
Evaluation of the Models (Regression and Classification)
python scikit-learn regression classification evaluation-metric cross-validation random-forest randomforestregressor randomforestclassifier confusion-matrix model-evaluation
Language:Jupyter Notebook 2
iamkirankumaryadav / SMS-Classification
Natural Language Processing
natural-language-processing nlp pandas sms-spam-classification nltk ensemble randomforestclassifier bagging
Language:Jupyter Notebook 2
jposyluzny / ENSF612Project
Repository for the ENSF 612 final project.
machine-learning big-data lightgbm xgboost randomforestclassifier databricks-notebooks group-project
2
maede43 / ensemble-learning-lfw
Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier
randomforestclassifier lightgbm-classifier stacking-classifier lfw-dataset vggface
Language:Jupyter Notebook 2
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
natural-language-processing classification-model supervised-learning randomforestclassifier xgboost-classifier hyperparameter-tuning gridsearchcv
Language:Jupyter Notebook 2
SuperYanka / customer-churn-prediction
Machine learning project for predicting customer churn based on user behavior, contract type, and monthly charges. Includes preprocessing, model training, and evaluation. /// Проект по предсказанию оттока клиентов телеком-компании на основе их контрактов, активности и платежей.
classification confusion-matrix customer-churn-prediction data-science data-science-portfolio data-science-projects linear-regression machine-learning pandas portfolio randomforestclassifier scikit-learn xgboost
Language:Jupyter Notebook 2
Ashis-Mishra07 / Medical_Diagnose
Gain a complete and accurate understanding of the disease you’re dealing with.
tensorflow adaboostclassifier adam-optimizer extratreesclassifier gaussiannb gradient-boosting-classifier keras-tensorflow kneighborsclassifier logistic-regression matplotlib-pyplot mlpclassifier numpy pandas pickle randomforestclassifier standardscaler svm tensorflow2 tensorflowjs xgbclassifier
Language:Jupyter Notebook 1
ayan6943 / Employee-Attrition-Prediction-with-Machine-Learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest and XGBoost. Includes EDA, feature engineering, model training, and evaluation. Achieved 92% accuracy.
attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote
Language:Jupyter Notebook 1
juancmacias / FalseBait
Clasificación de url con RandomForestClassifier
ab-testing compose csv docker f1-score fastapi gradio postgresql python randomforestclassifier
Language:Python 1
LokVinay / Agribot
Designed and developed Agriculture crop recommendation system, an AI-powered interactive system for farmers where we have used random forest classification model, using HTML, CSS, JavaScript, and Python.
css3 flask html5 javascript machine-learning-algorithms openweathermap-api python randomforestclassifier react-js fastapi
Language:JavaScript 1
mahursh / DiabetesPrediction
matplotlib numpy randomforestclassifier sklearn svc logisticregression machine-learning ml seaborn xgboost
Language:Jupyter Notebook 1
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
Language:Shell 1
sjain2580 / sentiment-analysis-project
Sentiment analysis
classfication-model sentiment-analysis vectorization suggestion-generation tf-idf flask-application randomforestclassifier
Language:Python 1
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 healthcareai machinelearning python scikitlearn lungcancerprediction medicalanalysis datavisualization decisiontreeclassifier featureengineering knn logisticregression naivebayesclassifier randomforestclassifier svm-classifier
Language:Jupyter Notebook 1
Vaishnavi-vi / Insurance-Premium-Category-Prediction-with-fastAPI
This project is an Insurance Premium Prediction System built using Machine Learning, FastAPI, and Streamlit.
fastapi ml randomforestclassifier streamlit
Language:Jupyter Notebook 1

randomforestclassifier

francescopatane96 / Computer_aided_drug_discovery_kit

prateekagrawaliiit / 100-Days-of-ML

emirhanai / Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate

MattiaRaffa / RF-VDA-landslide-map

cecivieira / cotas-genero-eleicoes-e-proposicoes-legislativas

DataSpieler12345 / python-for-ds-ml

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

sharathnirmala16 / btc-ml-epat-project

a3X3k / Spam-Email-Detection

FaezehAbedi2023 / Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

Pradnya1208 / Credit-card-fraud-detection-using-ensemble-learning-predictive-models

reknahs / Rubiks-Cube-Inference-Model

AM-mirzanejad / Heart-Failure-Prediction

KarthikMurugadoss1804 / Prediction-of-customer-churn

mb16biswas / fullstack_heart_discease_prediction_app

prabormukherjee / ML_visualizer

sorna-fast / fraud-detection

SwatejPatil / Fake-Currency-Detection

Aysenuryilmazz / hr_analytics_ML

dvilaverde / SkLearn2Java

esvs2202 / Credit-card-fraud-detection-system

iamkirankumaryadav / Evaluation

iamkirankumaryadav / SMS-Classification

jposyluzny / ENSF612Project

maede43 / ensemble-learning-lfw

MafikengZ / NLP-Tweet-Sentiment-Ananlysis

SuperYanka / customer-churn-prediction

Ashis-Mishra07 / Medical_Diagnose

ayan6943 / Employee-Attrition-Prediction-with-Machine-Learning

juancmacias / FalseBait

LokVinay / Agribot

mahursh / DiabetesPrediction

musfiquejim / EnACP-A-Hybrid-Machine-Learning-Framework-for-Detecting-Anticancer-Peptides

sjain2580 / sentiment-analysis-project

Uni-Creator / Lung_Cancer_Prediction

Vaishnavi-vi / Insurance-Premium-Category-Prediction-with-fastAPI