A. Hussain

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Tutorials and notes on machine learning, engineering, and the tools I use.

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Deep Learning · Part 1

Understanding the Perceptron: Intuition, Theory, and Code

Deep-LearningNeural-NetworkPerceptron

Deep Learning · Part 2

How Neural Networks Work: Math, Intuition, and Code

Deep-LearningNeural-NetworkPython

Feature Engineering · Part 1

Understanding Mathematical Transforms in Machine Learning

Feature-EngineeringMachine-LearningPython

Machine Learning · Part 9

A Step by Step Guide to Linear Discriminant Analysis (LDA) in Machine Learning

Machine-LearningLDAPython

Machine Learning · Part 8

A Step by Step Guide to Principal Component Analysis (PCA) in Machine Learning

Machine-LearningPCAPython

Machine Learning · Part 7

A Step by Step Guide to K-means Clustering in Machine Learning

Machine-LearningK-meansPython

Machine Learning · Part 6

A Step-by-Step Guide to Random Forest in Machine Learning

Machine-LearningRandom-ForestPython

Machine Learning · Part 5

A Step-by-Step Guide to SVM in Machine Learning

Machine-LearningSVMPython

Machine Learning · Part 4

A Step-by-Step Guide to Naive Bayes in Machine Learning

Machine-LearningNaive-BayesPython

Machine Learning · Part 3

A Step-by-Step Guide to K-Nearest Neighbors (KNN) in Machine Learning

Machine-LearningKNNPython

Machine Learning · Part 2

A Step-by-Step Guide to Decision Trees in Machine Learning

Machine-LearningDecision-TreesPython

Machine Learning · Part 1

A Step-by-Step Guide to Linear Regression in Machine Learning

Machine-LearningLinear-RegressionPython