A Machine Learning Workshop for HackCU III
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Updated
Jun 8, 2017 - Python
A Machine Learning Workshop for HackCU III
Code store for custom implementation of some machine learning algorithms from scratch.
course assignments
A few generalized linear models and one Gaussian discriminant analysis
Implementation of Logistic Regression for getting intuition : how neural network works
Linear Regression and Logistic Regression
Predicting the volcanic eruption using ML Algorithms.
ML classifier using computer vision to classify photos of dogs, frogs, and hogs.
This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.
This is a trained ML model that analyzes an email to distinguish between legitimate messages (i.e. ham) and pesky spam.
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