Data Science Competition For Beginners Hosted By Kaggle

Master thesis for Double degree of CTU and Ensimag

ML program to analyse sentiment of a tweet using Naive Bayes Algorithm and "Bag of Words" method

Machine Learning Algorithms Implementation for different datasets

This project involves the implementation of efficient and effective RBF SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

perceptron algorithm on the adult income dataset

Various sketching and streaming algorithms implemented on StreamPy

Machine Learning Using Python

A machine-learning library written in Haskell.

Introductory tutorials for machine learning from Kaggle

Android client for collecting pavement quality data

This repo has the programs and files associated with the project dataset generstor

Here we have various machine learning codes for beginners in ML using python and R

k-means clustering algorithm implementation using Matlab.

This module extends the kernel SHAP method (as introduced by Lundberg and Lee (2017)) which is local in nature, to a method that computes global SHAP values.

Detect emotion with FER+

TensorFlow projects repository