🏆 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.

This is the page for the book Digital Signal Processing with Kernel Methods.

100 Days of ML Coding

I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Statistical inference on machine learning or general non-parametric models

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Vehicle detection and tracking using linear SVM classifier

A MATLAB toolbox for classifier: Version 1.0.7

Matlab library for gradient descent algorithms: Version 1.0.1

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

dzetsaka : classification plugin for Qgis

Misc Statistics and Machine Learning codes in R

Large Data Analysis Course Project

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

LIBSVM bindings for Julia

A document covering machine learning basics. 🤖📊