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.
-
Updated
Mar 25, 2022 - Python
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.
Plotting decision boundaries for high-dimensional data.
Logistic regression geometric interpretation implementation from scratch in python.
Iris Classification
Simple Logistic Regression on a toy Dataset in Tensorflow.
Helper functions for some common tasks
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
Machine learning code: linear regression and logistic regression
Machine learning
Predicts March Madness games. Updated for 2021.
📈 Interactive decision boundary visualizer
Animates the SVM Decision Boundary Hyperplane on the Iris data
Andrew Ng Machine Learning Course Coursera
Decision Boundaries Visualization of SVDD (libsvm-3.23)
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
A collection of beautiful plots, and other data visualization stuff.
Perceptrons, SVMs, and neural networks.
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Add a description, image, and links to the decision-boundary topic page so that developers can more easily learn about it.
To associate your repository with the decision-boundary topic, visit your repo's landing page and select "manage topics."