Machine Learning Project
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Updated
Jan 23, 2024 - Python
Machine Learning Project
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.
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
Machine learning library for classification tasks
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
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