Assignments
-
Updated
Mar 20, 2018 - Jupyter Notebook
Assignments
Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668
SM4ML project
Kernel-Methods on a Red-Wine Dataset
Anticipate the energy consumption of new commercial buildings
Lecture "Softwareprojekt" @fh-wedel WS20
PERK: Parameter Estimation via Regression with Kernels
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
House Prices - Advanced Regression Techniques
This repository contains code for predicting stock prices using various machine learning models. The models implemented include Linear Regression, SVM Regression, KNN Regression, Kernel Ridge Regression, and Ridge Regression.
Machine Learning Code Implementations in Python
Lecture "Learning & soft computing" @fh-wedel SS22
Explore selected topics related to Gaussian processes
This repository contains the source code of my bachelors' thesis.
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
Machine learning regression model to predict energy consumption and GHG emission
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,…
Add a description, image, and links to the kernel-ridge-regression topic page so that developers can more easily learn about it.
To associate your repository with the kernel-ridge-regression topic, visit your repo's landing page and select "manage topics."