Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
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Updated
Dec 12, 2020 - R
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
R | Classification Project
R packages Implementing linear models for classification
Bunch of exercises computed during the Machine Learning for Finance course.
R package for machine learning classification model evaluation.
Clustering personalities and labelling based on sampled survey responses (Hierarchical and K-Means).
Supervised learning and unsupervised in R, with a focus on regression and classification methods.
Exploratory project getting familiar with quadratic discriminant analysis as a classification algorithm
Machine Learning: Group Project
This repository showcases project to predict the likelihood of borrowers defaulting on a loan using Machine Learning models. The task is to perform binary classification to classify borrowers as "will default" or "will not default". An Excel sheet calculates bank profits using these predictive models.
A Survey on ML Techniques for Airbnb Price Prediction
Exploring American beliefs in the COVID-19 conspiracy theory – Coronavirus is a Chinese bioweapon.
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