Applying machine learning techniques with R to Census Income data set, a.k.a Adult data set.

Python ML programm to classify food using Deep Learning and feature classifiers like SIFT, SURF with Bag of Words and SVMs

Sharing both theoretical and programing ideas, that I came across at Introduction to Machine Learning course. notes, homework solution and python assignment

Machine Learning UIUC SP 2018

Contains ML Algorithms implemented as part of CSE 512 - Machine Learning class taken by Fransico Orabona. Implemented Linear Regression using polynomial basis functions, Perceptron, Ridge Regression, SVM Primal, Kernel Ridge Regression, Kernel SVM, Kmeans.

2019 USTC MachineLearning homework and project.

Masters Thesis

Cardiac SPECT diagnosis using Support Vector Machines (SVM) and Neural Networks

Train a simple classifier that classifies a sentence into either a positive or negative sentiment. These sentences come from a movie review dataset constructed by the authors of this paper: Bo Pang and Lillian Lee, Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales, Proceedings of ACL 2005.

Source file in LaTeX of Cao Tri DO's PhD Thesis submitted in 2016 with LIG, Gipsa Lab and Schneider Electric

String Kernels in Sentiment Analysis

Classification on gene diseases using machine learning

Repo for Machine Learning CS 5350

Support-Vector Machine with TikZ

Code for creation of a prototype model of a social robot 🔌 by integrating different domains like Android📱, ML💡, Image Processing🌁 etc

Introduction to Support Vector Machines (SVM) [German]

Structured Output Prediction using Conditional Random Fields

Support Vector Machine implementation written in Python

Latex Code for seminar paper