This project uses a machine learning QDA model to predict the carrier of commercial airline flights.
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Updated
May 28, 2023
This project uses a machine learning QDA model to predict the carrier of commercial airline flights.
Binary classification to predict donor vs. non-donor & regression to prediction donation amount. Logistic regression, QDA, LDA, Random Forests, SVMs, Bagging, Boosting, Ridge Regression
Clustering personalities and labelling based on sampled survey responses (Hierarchical and K-Means).
Machine learning library for classification tasks
Supervised learning and unsupervised in R, with a focus on regression and classification methods.
Machine Learning Library for Classification Tasks
Making Machine Learning Algorithms Easy to Comprehend
This was my finial paper for my Harvard Data Science Certification. This paper used machine learning to predict if a patient had heart disease or not.
Linear Discriminant Analysis
Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.
Exploratory project getting familiar with quadratic discriminant analysis as a classification algorithm
Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm
Binary classification-models comparison
Machine Learning: Group Project
Machine Learning Project
CMP5130 - Machine Learning Lesson Assignments / 1- Linear Regression - Univariate and Multivariate & Regularization Kfold Cross Validation 2- Linear Discriminant Analysis Quadratic Discriminant Analysis 3- Decision Tree Classification
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.
LDA, QDA and NB in Python from scratch
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