R packages Implementing linear models for classification
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Updated
Aug 21, 2017 - R
R packages Implementing linear models for classification
A Survey on ML Techniques for Airbnb Price Prediction
Machine Learning: Group Project
Supervised learning and unsupervised in R, with a focus on regression and classification methods.
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
Exploring American beliefs in the COVID-19 conspiracy theory – Coronavirus is a Chinese bioweapon.
Clustering personalities and labelling based on sampled survey responses (Hierarchical and K-Means).
R | Classification 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.
Bunch of exercises computed during the Machine Learning for Finance course.
Exploratory project getting familiar with quadratic discriminant analysis as a classification algorithm
R package for machine learning classification model evaluation.
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