Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
-
Updated
Dec 24, 2018 - Jupyter Notebook
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.
📈 Interactive decision boundary visualizer
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.
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.
Plotting decision boundaries for high-dimensional data.
Machine learning
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.
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.
Andrew Ng Machine Learning Course Coursera
Machine learning code: linear regression and logistic regression
Predicts March Madness games. Updated for 2021.
Iris Classification
Simple Logistic Regression on a toy Dataset in Tensorflow.
Logistic regression geometric interpretation implementation from scratch in python.
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."