Andrew Ng Machine Learning Course Coursera
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Updated
Jul 31, 2017 - MATLAB
Andrew Ng Machine Learning Course Coursera
Machine learning
📈 Interactive decision boundary visualizer
Perceptrons, SVMs, and neural networks.
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Animates the SVM Decision Boundary Hyperplane on the Iris data
Decision Boundaries Visualization of SVDD (libsvm-3.23)
Simple Logistic Regression on a toy Dataset in Tensorflow.
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
Plotting decision boundaries for high-dimensional data.
Logistic regression geometric interpretation implementation from scratch in python.
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.
A collection of beautiful plots, and other data visualization stuff.
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
Predicts March Madness games. Updated for 2021.
Non parametric Kernel Density Estimator / Classifier. Allows user to input bandwidth but does not find it. Can classify for N dimensions, but can only plot class / decision boundaries for 2.
Iris Classification
Machine learning code: linear regression and logistic regression
Helper functions for some common tasks
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