extratreesclassifier

timothygmitchell/Empirical_Study_of_Ensemble_Learning_Methods

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

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.

a3X3k/Spam-Email-Detection

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.

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

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.

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/

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.

insancs/credit-scoring-classification

Predict whether a person will default on a loan or not.

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.

iambankaratharva/BitcoinHeist

Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.

iambankaratharva/Claims-Management

Machine Learning models for helping BNP Paribas Cardif accelerate its claims process

Kaizenick/Walmart-Sales-Forcasting

Predicting sales of Walmart stores by cleaning the data, processing it. Then creating different models to predict the sales.

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

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.

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.

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.

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.

dayanacavalcante/ApiPython-WineClassify

Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.

DivyaSudagoni/Predicting-hotel-booking-cancellation

This project predicts hotel booking cancellations using Machine Learning techniques, benefiting both travelers and hotels.

franmateus/Risco-de-Credito-Modelos-Ensemble

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

LuisAnibalVasquez/Road-Traffic-Severity-Classification

ngotacoding/Electrical-Grid-Stability

Predicting the stability of electrical grids using a binary classification model.

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

srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

The-Bright-Kid/RTA_ML_Implimentation

This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid

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.

Abhinav330/Classification-problem-using-ensambling-on-titanic-dataset

a classification problem using ensemble methods on the Titanic dataset.

dilkushsingh/Kidney-Stone-Detection

Predicts the likelihood of kidney stone based on the input parameters.

harmanveer-2546/Sports-Bets-Winning-Algorithm

Sports betting is the activity of predicting sports results and placing a wager on the outcome.

harmanveer-2546/Titanic-Survival-prediction-with-20-Algorithm

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150.

Meenu00615/Iris-classification

Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.

Msamuelsons/cogumelo-venenoso

Modelo em IA que classifica se um cogumelo é ou não venenoso

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.

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