Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, perceptrons and other linear classifiers.
⚙️ Learning from data - Caltech course
Bias variance experiment from Learning from Data. Problem 2.24, p. 75.
'Pocket' version of the perceptron learning algorithm implementation and visualization
He collects interesting papers which are included in research areas of him and shares them with you.
Homeworks and Projects in Machine Learning Course
Logistic Regression written in python 3.
An innovative Python implementation of decision trees for machine learning, showcasing algorithmic learning from scratch with practical examples and a focus on AI principles.
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