Assignments
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Updated
Mar 20, 2018 - Jupyter Notebook
Assignments
SM4ML project
Kernel-Methods on a Red-Wine Dataset
PERK: Parameter Estimation via Regression with Kernels
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
Codes and images used for blog article at https://www.mdelcueto.com/blog/kernel-ridge-regression-tutorial/
Anticipate the energy consumption of new commercial buildings
Lecture "Softwareprojekt" @fh-wedel WS20
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.
This repository contains the source code of my bachelors' thesis.
Machine learning regression model to predict energy consumption and GHG emission
Scripts for machine learning at ONR project (2017-)
Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668
Lecture "Learning & soft computing" @fh-wedel SS22
Explore selected topics related to Gaussian processes
Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
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