uu-sml / course-sml-public
Course material for 1RT700 Statistical Machine Learning
☆59Updated this week
Related projects ⓘ
Alternatives and complementary repositories for course-sml-public
- Code used to obtain results for my medium articles☆70Updated last year
- Lecture Notes on Statistical Inference☆74Updated 3 weeks ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆87Updated 3 months ago
- ☆69Updated last year
- Workshop on Bayesian inference using PyMC☆26Updated 3 years ago
- Forecasting: Principles and Practice☆30Updated 3 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆63Updated 4 months ago
- Page for the SML book☆48Updated 2 years ago
- Repository for a workshop on Bayesian Decision Analysis☆65Updated last year
- DS-GA 1013 Mathematical Tools for Data Science☆51Updated 3 years ago
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆42Updated 2 years ago
- Notebooks for a course☆33Updated 4 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆78Updated 3 months ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆26Updated 4 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆96Updated last year
- DRL university course lecture notes & exercises☆87Updated last year
- ☆45Updated 4 years ago
- Parallel Programming with Python Tutorial☆36Updated 11 months ago
- ☆11Updated 2 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆19Updated 8 months ago
- ☆26Updated 2 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆70Updated last year
- Tutorial on time-series forcasting with scikit-learn☆36Updated last year
- Statistical Inference Course☆37Updated 8 months ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆49Updated 2 months ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆54Updated 4 years ago
- ☆45Updated last year
- Python implementation for Bellman Conformal Inference algorithm for time series forecasting.☆16Updated 9 months ago
- A Handbook of Mathematical Models with Python, published by Packt☆18Updated last month
- ☆39Updated 2 years ago