random-forest-classifier

Based on the powerful econometrics and statistical background and rich data science resources of School of Economics (SOE) and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, WISER CLUB is a data science mutual aid learning organization jointly organized by SOE and WISE graduate students and undergraduate students.

data-mining prediction pandas xgboost adaboost data-preprocessing sklearn-classify business-analytics random-forest-classifier

Updated Apr 16, 2020
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viney88 / Heart_disease_RF-classifier

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In this repository find the causes of heart disease with the help of ML Tools and Techniques

python ml random-forest-classifier

Updated Oct 14, 2020
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JalajVora / Text-Analytics-with-Multi-Class-and-Imbalanced-Learning

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Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus

python machine-learning neural-network naive-bayes-classifier logistic-regression gutenberg text-analytics decision-tree-classifier imbalanced-data multiclass-classification imbalanced-learning complement-navie-bayes random-forest-classifier text-retrieval svm-rbf over-sampling

Updated Nov 24, 2020
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devika30 / Diabetes-Prediction

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Diabetes Prediction using Flask

flask machine-learning html5 css3 bootstrap4 python3 random-forest-classifier

Updated Mar 20, 2021
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YashNagare / Diabetes-Prediction-Deployment

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A Machine Learning Web App, Built with Flask, Deployed using Heroku.

machine-learning classification heroku-deployment random-forest-classifier diabetes-prediction

Updated Mar 21, 2021
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akshayratnawat / BoostingAlgorithms

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This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost

boosting-algorithms boostrap gradient-boosting xgboost-algorithm random-forest-classifier gridsearchcv adaboost-learning shap adaboost-algorithm featureimportances overfitting-reduced randomsearch-cv

Updated Apr 29, 2021
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JalajVora / COVID-19-predictions-on-Chest-X-Rays-using-Interpretable-Machine-Learning

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A Team Project on developing COVID-19 predictor with chest X-Ray images as dataset under Data Science with R subject of Otto-von-Guericke-University, Magdeburg

data-science r neural-network svm dataset image-classification decision-tree-classifier random-forest-classifier knn-classifier explainable-ml cxr-images logistic-regression-classifier covid-19

Updated May 20, 2021
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Josep-at-work / Wildfires_Classification

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Project based on the application of distinct classification algorithms in order to determine the cause of wildfires.

github-pages r xgboost linear-discriminant-analysis knn-classification random-forest-classifier

Updated May 31, 2021
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andrewsunsanto / DSBAProject6

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6th Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Model Tuning (GridSearchCV & RandomizedSearchCV)

xgboost logistic-regression adaboost decision-tree smote gradient-boosting boosting bagging random-forest-classifier gridsearchcv imblearn randomizedsearchcv makepiplines tomek-link-elimination

Updated Jul 23, 2021
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MarAl15 / SIGE-FraudDetection

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Data preprocessing and classification for the detection of fraudulent transactions

machine-learning naive-bayes-classifier classification preprocessing svm-classifier fraud-detection random-forest-classifier fraudulent-transactions

Updated Sep 19, 2021
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jialincheoh / finding-donors

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Finding Donors with Machine Learning ( Support Vector Machine, Gradient Boosting Classifier, Random Forest Classifier )

machine-learning ensemble-learning support-vector-machines gradient-boosting-classifier random-forest-classifier adaboostclassifier

Updated Sep 22, 2021
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SaiJeevanPuchakayala / Diabetes-Risk-Calculator

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This is an End-to-End Data Science project which can predict whether a person has diabetes, or not, based on information about the patient such as blood pressure, body mass index (BMI), age, etc.