Assignments
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Updated
Mar 20, 2018 - Jupyter Notebook
Assignments
Kernel-Methods on a Red-Wine Dataset
Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668
SM4ML project
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
Anticipate the energy consumption of new commercial buildings
Lecture "Softwareprojekt" @fh-wedel WS20
PERK: Parameter Estimation via Regression with Kernels
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
Explore selected topics related to Gaussian processes
Lecture "Learning & soft computing" @fh-wedel SS22
Machine learning regression model to predict energy consumption and GHG emission
Speeding up quantum dissipative dynamics of open systems with kernel methods
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
Codes and images used for blog article at https://www.mdelcueto.com/blog/kernel-ridge-regression-tutorial/
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