An implementation of [robust version] of Fisher Linear discriminant analysis
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Updated
Jun 28, 2016 - Python
An implementation of [robust version] of Fisher Linear discriminant analysis
Simple face recognition algorithm
Binary classification to predict donor vs. non-donor & regression to prediction donation amount. Logistic regression, QDA, LDA, Random Forests, SVMs, Bagging, Boosting, Ridge Regression
Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.
R packages Implementing linear models for classification
Feature Engineering and Prediction of Survivors on the Titanic Dataset
Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset
Prediction of Coronary Heart Disease(CHD) using South African Heart Disease Data
Linear Discriminant Tree in jupyter notebook
Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA)
My implementation of homework 3 for the Machine Learning class in NCTU (course number 5088).
Principal Component Analysis and Linear Discriminant Analysis in Python
Approach at solving the problem of Face Recognition using dimensionality reduction algorithms like PCA and LDA
We used LDA in this project to expand the capabilities of our Logistic Regression Classifier in both Python and R
Face recognition using PCA and LDA algorithms followed by KNN to search the embedding space.
C++ implementations of various classification algorithms on the "banknote authentication Data Set".
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