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Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.

r optimization dynamic-programming decision-trees nonlinear-optimization optimization-algorithms markov-chain-monte-carlo integer-programming queueing-theory network-optimization inventory-optimization

Updated Sep 21, 2018
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Bugss05 / IACD_Predicting_Hepatocellular_Carcinoma_through_SML

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Predicting Hepatocellular Carcinoma through Supervised Machine Learning

machine-learning random-forest machine-learning-algorithms artificial-intelligence supervised-learning logistic-regression decision-trees decision-tree-classifier artificial-intelligence-algorithms knn-classification random-forest-classifier hepatocellular-carcinoma logistic-regression-classifier streamlit

Updated Jul 26, 2024
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jbp261 / Optimal-Classification-Model-of-BLE-RSSI-Dataset

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Development optimal classifiers to predict the positions of the user based on the RSSI readings from iBeacon devices

random-forest data-visualization data-visualisation pca-analysis supervised-learning logistic-regression decision-trees pipelining svm-classifier gridsearchcv

Updated Aug 10, 2018
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auriml / supervised_models

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Supervised ML models to predict student's performance in high school

neural-network random-forest sklearn regression naive-bayes-classifier classification decision-trees svm-classifier

Updated Mar 14, 2017
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adityanaranje / house_price_predictor

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Predicting house price using decision tree regressior.

machine-learning regression decision-trees

Updated Aug 25, 2021
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munir-bd / Supervised_Learning_Regression_Customer_Churn_Prediction

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Context: Customer behavior prediction to retain customers

data-science random-forest exploratory-data-analysis regression eda data-visualization lstm pca-analysis pca logistic-regression decision-trees knn decision-tree-classifier lstm-neural-networks knn-classification random-forest-classifier logisticregression

Updated Mar 31, 2020
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01dkg / Machine-Learning-Credit-Scoring-Geospatial

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Research work on credit scoring using geospatial data and techniques

python logistic-regression decision-trees credit-scoring auditing-predictive-models tableau-desktop

Updated Mar 4, 2018
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EnzoNMigliano / A_Twitter_Data_Analysis_of_the_COVID19_Impact_in_ones_life

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Under the broad research question: What are the impact of COVID-19 in ones life? Our team collected Twitter data to answer research hypothesis, producing models, and have a better understanding of the factors that influence one's reaction to the global pandemic.

twitter modeling sentment-analysis classification decision-trees mental-health isolation pandemic vaccine twitter-data-analysis covid-19 behavioral-intentions frontline-workers

Updated Mar 13, 2021
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jasminekwok / election2016-analysis

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This project aims to recreate some of the machine learning methods Nate Silver used in 2016, by using the actual election data and determining how accurate some of these methods were at predicting the final results. The methods we used were Principal Component Analysis, Hierarchical Clustering, Decision Trees, Logistic Regression and Lasso Regul…

random-forest clustering voting machine-learning-algorithms pca logistic-regression decision-trees knn lasso-regression