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
Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.
Overview of statistical learning methods for classification
R | Classification Project
R packages Implementing linear models for classification
Bunch of exercises computed during the Machine Learning for Finance course.
Machine Learning Library for Classification Tasks
Clustering personalities and labelling based on sampled survey responses (Hierarchical and K-Means).
Machine learning library for classification tasks
Probabilistic graphical models home works (MVA - ENS Cachan)
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)
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.
Supervised learning and unsupervised in R, with a focus on regression and classification methods.
Classification methods applied to an imbalanced big dataset
Binary classification-models comparison
Linear Discriminant Analysis
Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.
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