decision-boundary
There are 26 repositories under decision-boundary topic.
ahmedbesbes/Neural-Network-from-scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
dr-mushtaq/Machine-Learning
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
gallettilance/kviz
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
tvhahn/Beautiful-Plots
A collection of beautiful plots, and other data visualization stuff.
sandipanpaul21/Tree-Based-Models-in-Python
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.
tuomastik/decision_boundary_viz
📈 Interactive decision boundary visualizer
iqiukp/Decision-Boundaries-Visualization-of-SVDD-libsvm-3.23
Decision Boundaries Visualization of SVDD (libsvm-3.23)
omerfarukeker/SVM-Decision-Boundary-Animator
Animates the SVM Decision Boundary Hyperplane on the Iris data
BALaka-18/SVM_Visual_Tool
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
aattaran/Machine-learning-Algorithms
Machine learning
vrjkmr/decision-boundary
Plotting decision boundaries for high-dimensional data.
bconsolvo/ml-course-andrew-ng
Machine learning code: linear regression and logistic regression
IshantVeerbhan/Andrew-Ng-ML-Coursera
Andrew Ng Machine Learning Course Coursera
knowthebird/KernelDensityEstimator
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.
nishkarsh25/Logistic-Regression
This is a logistic regression model for binary classification. It reads a CSV file containing input data with two attributes and a target class label, and pre-processes the data by removing unwanted columns and splitting it into training and test sets.
cmsc422/project3-linear-to-nonlinear
Perceptrons, SVMs, and neural networks.
martian1231/logisticRegressionFromScratchGeometricWay
Logistic regression geometric interpretation implementation from scratch in python.
BenjaminRueling/Iris-Classification
Iris Classification
ghfri-code/Logistic-Regression
Logistic Regression implementation based on the mathematical foundation
Jayveersinh-Raj/helper_functions
Helper functions for some common tasks
mark-antal-csizmadia/svm
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Monksc/marchmadnesspredictor
Predicts March Madness games. Updated for 2021.
Ninad077/Machine_Learning-Gradient_descent_with_Logistic_Regression
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
shambu09/logistic_regression
Simple Logistic Regression on a toy Dataset in Tensorflow.