kernel linear regression and svm for Creditcard and Tumor data

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.

Scripts for machine learning at ONR project (2017-)

Assignments

This repository contains the source code of my bachelors' thesis.

2018 [Julia v1.0] machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset

Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau

Codes and experiments for paper "Distributed Learning with Random Features". Preprint.

Codes and images used for blog article at https://www.mdelcueto.com/blog/kernel-ridge-regression-tutorial/

Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning

Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression

Speeding up quantum dissipative dynamics of open systems with kernel methods

2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction,…

Amons-based quantum machine learning for quantum chemistry

Kernel-Methods on a Red-Wine Dataset

Lecture "Learning & soft computing" @fh-wedel SS22

Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668

Anticipate the energy consumption of new commercial buildings

House Prices - Advanced Regression Techniques