extratreesclassifier

There are 0 repository under extratreesclassifier topic.

Kunal-Attri / Malware-Detection-ML-Model
This is a Malware Detection ML model made using Random Forest Algorithm
extratreesclassifier machine-learning malware malware-detection random-forest-classifier scikit-learn streamlit
Language:Python 18
Empirical_Study_of_Ensemble_Learning_Methods
timothygmitchell / Empirical_Study_of_Ensemble_Learning_Methods
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
random-forest extratreesclassifier conditional-inference-trees xgboost knn-classification naive-bayes-classifier gaussian-processes elastic-net neural-network support-vector-machines ensemble-learning logistic-regression linear-discriminant-analysis quadratic-discriminant-analysis splines
Language:R 11
AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin
emirhanai / AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin
I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.
health earth-and-nature business biology chemistry biotechnology machine-learning python artificial-intelligence artificial-neural-networks neural-network neural-networks extratreesclassifier extratreesregressor extra-trees-classifier extra-tree-regressor machine-learning-algorithms machine-learning-models machine-learning-projects
Language:Python 10
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
mdaiyub / Diabetes-Prediction
Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.
machine-learning numpy pandas seaborn logisticregression randomforestregressor svc xgboost logisticregressioncv decisiontreeclassifier gradientboostingclassifier extratreesclassifier
Language:Jupyter Notebook 5
sidharth178 / Credit-Risk-Analysis-using-LightGBM-Classifier
The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application
classification lazypredict random-forest-classifier lightgbm extratreesclassifier data-analysis
Language:Jupyter Notebook 5
Chandradithya8 / Feature_Selection
Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.
selectkbest mutual-classif-info extratreesclassifier feature-selection
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
harshwalia36 / Early-Prediction-of-Mortality-Risk-among-Covid-19-Patients
Early prediction of Mortality Risk among Covid -19 Patients in early stages when patients gets admitted into the hospital.
machine-learning covid-19 classification ensemble-model sklearn keras xgboost lgbmclassifier logistic-regression adaboost gradient-boosting extratreesclassifier svm-classifier mlp-classifier decision-trees random-forest bagging
Language:Jupyter Notebook 2
insancs / credit-scoring-classification
Predict whether a person will default on a loan or not.
python scikit-image machinelearning extratreesclassifier credit-scoring
Language:Jupyter Notebook 2
Elliott-dev / Indicators-of-Heart-Disease-Analysis
This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the development of heart disease.
ab-testing adaboostclassifier classification confusion-matrix extratreesclassifier healthcare-analysis ols-regression-model random-forest
Language:Jupyter Notebook 1
iambankaratharva / BitcoinHeist
Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.
ransomware-detection ransomware machine-learning bitcoin autoencoder variational-autoencoder xgboost extratreesclassifier randomforest
Language:Jupyter Notebook 1
iambankaratharva / Claims-Management
Machine Learning models for helping BNP Paribas Cardif accelerate its claims process
machine-learning machine-learning-algorithms ensemble-learning xgboost extratreesclassifier outlier-detection datatransformation datapreprocessing datavisualization
Language:Jupyter Notebook 1
Kaizenick / Walmart-Sales-Forcasting
Predicting sales of Walmart stores by cleaning the data, processing it. Then creating different models to predict the sales.
machine-learning machine-learning-algorithms xgboost extratreesclassifier
Language:Jupyter Notebook 1
Mazcho / Hyperparameter-Tuning-pada-ExtraTreesClassifier-untuk-Prediksi-Gagal-Jantung-Hacktiv8-FinalProject3
Halo! Selamat datang di repository ku. Ini adalah model klasifikasi gagal jantung yang mempunyai akurasi sebesar 89% dengan algoritma Bagging! -Final Project H8
classification extratreesclassifier heart-failure machine-learning python
Language:Jupyter Notebook 1
Mubshr07 / heartDiseasePrediction
This repo is the Machine Learning practice on NHANES dataset of Heart Disease prediction. The ML algorithms like LR, DT, RF, SVM, KNN, NB, MLP, AdaBoost, XGBoost, CatBoost, LightGBM, ExtraTree, etc. The results are good. I also explore the class-balancing (SMOTE) because the original dataset contains only 5% of patient and 95% of healthy record.
adaboost catboost dicision-tree extratreesclassifier knn-classification lightgbm logistic-regression machine-learning mlp-classifier mlp-networks navies-bayes-classifer nhanes nhanes-data random-forest svm svm-classifier xgboost
Language:Jupyter Notebook 1
rakibhhridoy / MachineLearning-FeatureSelection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
feature-selection machine-learning scikit-learn selectkbest extratreesclassifier rfe rfecv gridsearchcv lasso-regression logistic-regression pca numpy pandas
Language:Python 1
srl123 / Analysis-of-Machine-Learning-Algorithms-for-DDos-Detection
Used different types of machine learning classifiers such as Passive Aggressive, Extra Trees, Dummy Classifier to detect the DDos attack and compared the accuracies of the classifiers to determine the best out of the three.
python3 machine-learning-algorithms extratreesclassifier passiveaggressiveclassifier dummyclassfier sklearn numpy pandas ensemble-learning datavisualization majorvotingclassifier stacking stacking-ensemble weightedaverage
1
Arya920 / Desease-prediction
This repository contains code for a machine learning project focused on predicting the likelihood of a person having diabetes. The project includes the implementation of various classification models and an Artificial Neural Network (ANN) for classification.
adaboostclassifier artificial-neural-networks classification extratreesclassifier gradient-boosting logistic-regression machine-learning neural-network random-forest support-vector-machines xgboost
Language:Jupyter Notebook 0
dayanacavalcante / ApiPython-WineClassify
Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.
webapi extratreesclassifier flask-api
Language:Python 0
DivyaSudagoni / Predicting-hotel-booking-cancellation
This project predicts hotel booking cancellations using Machine Learning techniques, benefiting both travelers and hotels.
decision-tree-classifier knn-classification python smote-oversampler extratreesclassifier
Language:Jupyter Notebook 0
franmateus / Risco-de-Credito-Modelos-Ensemble
Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble
adaboost boosting decisiontrees extratreesclassifier gradientboostingclassifier randomforestclassifier randomizedsearchcv
Language:Jupyter Notebook 0
LuisAnibalVasquez / Road-Traffic-Severity-Classification
extratreesclassifier machie-learning python f1-score streamlit
Language:Jupyter Notebook 0
ngotacoding / Electrical-Grid-Stability
Predicting the stability of electrical grids using a binary classification model.
pandas extratreesclassifier gradient-boosting lgbmclassifier random-forest xgboost
Language:Jupyter Notebook 0
panambY / Human_Activity_Recognition
Predict the activity category of a human.
classification classification-model human-activity-recognition postural-transitions smartphone smartlab unbalanced-data logistic-regression knn-classification extratreesclassifier svm-classifier randomforest-classification
Language:Jupyter Notebook 0
saksham1210 / Human-Activity-Recognition-ML
In this project, we design a robust activity recognition system based on a smartphone.
activity-recognition pca svm random-forest gaussian-naive-bayes smartphone-sensor-data multi-layer-perceptron extratreesclassifier
Language:Jupyter Notebook 0
segobee / Binary-Classification
This is a project where Classification Models were built to predict whether a grid is stable or unstable going by the Provided Dataset
classification-algorithm random-forest xgboost-classifier extratreesclassifier lightgbm
Language:Jupyter Notebook 0
breast-cancer-analysis
srushtishimpi / breast-cancer-analysis
👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍
machine-learning breast-cancer-wisconsin logistic-regression svm-classifier adaboostclassifier random-forest knearest-neighbor-algorithm xgboost-algorithm lightgbm-classifier extratreesclassifier gradient-boosting svc-model data-science data-visualization python sklearn plotly pandas numpy
Language:Jupyter Notebook 0
The-Bright-Kid / RTA_ML_Implimentation
This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid
eda explainable-ai extratreesclassifier f1-score gridsearchcv hyperparameter-tuning machine-learning random-forest shap shapley-value
Language:Python 0
Abdullah2020 / Hamoye_StageC
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
accuracy-score classification-model confusion-matrix extratreesclassifier f1-score lgbmclassifier logistic-regression machine-learning random-forest-classifier recall-precision xgboost
Language:Jupyter Notebook
danielnunesdc / wine-classification
College project | Wine Classification Kaggle challenge with Wine Dataset :snake: :heavy_check_mark:
machine-learning machine-learning-algorithms pandas-python jupyter-notebook extratreesclassifier
Language:Jupyter Notebook
Meenu00615 / Iris-classification
Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.
confusion-matrix decision-tree-classifier ensemble extratreesclassifier iris-classification k-neighbors-classifier lgb linear-discriminant-analysis logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn svm xgboost adaboostclassifer gausian-nb gradientboostclassifier
Language:HTML
Msamuelsons / cogumelo-venenoso
Modelo em IA que classifica se um cogumelo é ou não venenoso
analysis data-science extratreesclassifier machine-learning
Language:Jupyter Notebook
PrasetyoWidyantoro / fraud-detection-in-online-transactions
fraud detection in online transactions menggunakan machine learning classification adalah proses membangun model prediksi fraud berdasarkan fitur-fitur tertentu. Dalam proyek ini, saya mengambil pendekatan end-to-end, mulai dari data mentah, eksperimentasi pemodelan, dan API menggunakan FASTAPI.
binary-classification extratreesclassifier fastapi fraud-detection
Language:Jupyter Notebook
PRAVEENBRO / Sms-Email-Spam-Detector
🚀 Developed a Python-based ML model for SMS and Email spam detection using NLP. Achieved high accuracy and precision! 📧🤖🔍 #MachineLearning #NLP #SpamDetection
extratreesclassifier machine-learning-algorithms multinomialnb natural-language-processing sklearn svc
Language:Jupyter Notebook
zoom2manoj / feature_selection
feature-selection correlation selectkbest chi2-distance extratreesclassifier mutualinf
Language:Jupyter Notebook

extratreesclassifier

Kunal-Attri / Malware-Detection-ML-Model

timothygmitchell / Empirical_Study_of_Ensemble_Learning_Methods

emirhanai / AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin

a3X3k / Spam-Email-Detection

mdaiyub / Diabetes-Prediction

sidharth178 / Credit-Risk-Analysis-using-LightGBM-Classifier

Chandradithya8 / Feature_Selection

Aysenuryilmazz / hr_analytics_ML

harshwalia36 / Early-Prediction-of-Mortality-Risk-among-Covid-19-Patients

insancs / credit-scoring-classification

Elliott-dev / Indicators-of-Heart-Disease-Analysis

iambankaratharva / BitcoinHeist

iambankaratharva / Claims-Management

Kaizenick / Walmart-Sales-Forcasting

Mazcho / Hyperparameter-Tuning-pada-ExtraTreesClassifier-untuk-Prediksi-Gagal-Jantung-Hacktiv8-FinalProject3

Mubshr07 / heartDiseasePrediction

rakibhhridoy / MachineLearning-FeatureSelection

srl123 / Analysis-of-Machine-Learning-Algorithms-for-DDos-Detection

Arya920 / Desease-prediction

dayanacavalcante / ApiPython-WineClassify

DivyaSudagoni / Predicting-hotel-booking-cancellation

franmateus / Risco-de-Credito-Modelos-Ensemble

LuisAnibalVasquez / Road-Traffic-Severity-Classification

ngotacoding / Electrical-Grid-Stability

panambY / Human_Activity_Recognition

saksham1210 / Human-Activity-Recognition-ML

segobee / Binary-Classification

srushtishimpi / breast-cancer-analysis

The-Bright-Kid / RTA_ML_Implimentation

Abdullah2020 / Hamoye_StageC

danielnunesdc / wine-classification

Meenu00615 / Iris-classification

Msamuelsons / cogumelo-venenoso

PrasetyoWidyantoro / fraud-detection-in-online-transactions

PRAVEENBRO / Sms-Email-Spam-Detector

zoom2manoj / feature_selection