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
Used to perform Ant Colony optimisation with Linear Discriminant Analysis for feature reduction in a dataset.
My implementation of homework 3 for the Machine Learning class in NCTU (course number 5088).
Principal Component Analysis and Linear Discriminant Analysis in Python
We used LDA in this project to expand the capabilities of our Logistic Regression Classifier in both Python and R
Contains our pattern recognition project files, which is about performing a dimensional reduction using the KLDA technique and performing a classification by employing a probabilistic approach.
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
EC447: Pattern Recognition and Machine Learning Course Project
Implementation of Fisher linear discriminat analysis reduction
Comparison of classification result based on dimension reduction algorithms: PCA vs LDA
A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
implement the machine learning algorithms by python for studying
Predict the gesture based on PoseNet keypoints
CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU
Application of Deep Learning and Feature Extraction in Software Defect Prediction
Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one
A collection of machine learning algorithm implementations
Linear Discriminant Decision Tree classifier implemented in Python
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