There are 1 repository under decision-boundary topic.
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
A collection of beautiful plots, and other data visualization stuff.
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.
📈 Interactive decision boundary visualizer
Decision Boundaries Visualization of SVDD (libsvm-3.23)
Animates the SVM Decision Boundary Hyperplane on the Iris data
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
Machine learning
Plotting decision boundaries for high-dimensional data.
Machine learning code: linear regression and logistic regression
Andrew Ng Machine Learning Course Coursera
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.
Perceptrons, SVMs, and neural networks.
Logistic regression geometric interpretation implementation from scratch in python.
Iris Classification
Helper functions for some common tasks
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Predicts March Madness games. Updated for 2021.
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
Simple Logistic Regression on a toy Dataset in Tensorflow.