Final Project of the Udacity AI Programming with Python Nanodegree

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Implementations of machine learning algorithm by Python 3

A single artificial neuron built from scratch to understand the maths behind neural nets !

A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee

In depth machine learning resources

🌱 NeuralNetwork01: Lib for Single Perceptron

Implementation of Perceptron as coursework for Artificial Intelligence course @ PUC Minas

Artificial Neural Network designed with Tensorflow that classifies UDP data set into DDoS data set and normal traffic data set.

Python implementations of several Machine Learning algorithms.

Homework solutions of Intro to ML course at MIT Spring 2018

Introduzione alle reti neurali con esempi in linguaggio C

A perceptron based text classification based on word bag feature extraction and applied on sentiment analysis dataset

A program that trains a perceptron to classify a flower as one of three categories. Trained using data from the Iris data set. Epochs currently set to 500000 but can be tinkered with. Currently classifying for Iris-setosa based on sepal-length and sepal-width. Current accuracy: 98.7%, also generates a map of error for different weight values (look at map generating implementation to read map). The website for this project is a desmos link linear, quadratic, and cubic separation generated by model (sepal-length vs sepal-width).

Using JavaScript to implement a the basic building block of Neural Networks.

Here I'm gonna implement a perceptron from scratch and with out any frameworks ...

Handwritten Digits Recognition using a Perceptron Neural Network

Prediction of Brazilian national soccer championship match results

Neural Network class project

Multi-category perceptron training algorithm for digit classification

This is the implementation of perceptron learning algorithm.

Analyzer of your music by your mood, based on deep learning algorithm (perceptron neural network)

Some recognized algorithms[Decision Tree, Adaboost,Perceptron,Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

Classification models (Perceptron & SVM) and Principal Component Analysis on sample data

Python code base which predicts if a candidate will win the election using basic machine learning classification algorithms.