Basic Machine Learning implementation with python

**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).

Handwritten Digits Recognition using a Perceptron Neural Network

Implementing standard econometric models using Stochastic Gradient Descent and Perceptrons instead of MLE and GMM.

Implement neuronal form scratch

Perceptron Algorithm implementation in Java. Implementation of Perceptron Algorithm to solve a simple classification problem and show the algorithm limitations, using the logical operations AND, OR and XOR.

Logistic Regression, Perceptron Algorithm, Fisher's Linear Discriminant Analysis

🧠 Dynamic Multi-Label Neural Network built from scratch using a Perceptron-based architecture. Includes a flexible NeuralNetwork class with backpropagation and a CrossValidator for K-Fold cross-validation. Designed for training models with multiple binary outputs.

A collection of code for an Intro to Deep Learning Computer Applications class.

This repository is designed to store and showcase class projects for the university course, Fundamentals of AI.

A tour through strong machine learning algorithm that are used in academia and industry.

This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

The project is about the implementation of Perceptron Learning rule to draw a decision boundary between the points belonging to different classes.

Biblioteca para implementar uma Rede Perceptron em JavaScript

This is the repository for the EDAF70 - Tillämpad artificiell intelligens (Applied Artificial Intelligence) course given at Lunds Tekniska Högskola (LTH) during the Spring 2019 term.

Assignment and lab codes of ML taught at IIIT Allahabad

Multi-category perceptron training algorithm for digit classification

Single Layer Perceptrons are the fundamental of Neural Networks. They are very effective on linearly separable classes.

CS440 Intro to Artificial Intelligence Project 2 Repository

Implementation of some machine learning algorithms for classification on the iris flowers data set