About
2022
Scikit-Learn Example in PyMC: Gaussian Process Classifier
2022-09-24
Synthetic Control in PyMC
2022-08-09
Modeling Short Time Series with Prior Knowledge in PyMC
2022-07-19
Time-Varying Regression Coefficients via Gaussian Random Walk in PyMC
2022-07-03
Data Talks Club: Machine Learning in Marketing
2022-05-17
PyConDE & PyData Berlin 2022: Introduction to Uplift Modeling
2022-04-11
Gamma-Gamma Model of Monetary Value in PyMC
2022-03-29
BG/NBD Model in PyMC
2022-03-03
Media Effect Estimation with PyMC: Adstock, Saturation & Diminishing Returns
2022-02-11
Media Effect Estimation with Orbit's KTR Model
2022-02-04
2021
Unobserved Components Model as a Bayesian Model with PyMC
2021-12-10
ISLR2 - Survival Analysis Lab (lifelines)
2021-09-01
Exploring Tools for Interpretable Machine Learning
2021-07-01
Feature Engineering: patsy as FormulaTransformer
2021-05-01
GLM in PyMC3: Out-Of-Sample Predictions
2021-01-04
Gaussian Processes for Time Series Forecasting with PyMC3
2021-01-02
2020
Simple Bayesian Linear Regression with TensorFlow Probability
2020-10-06
Open Data: Berlin Kitas
2020-09-19
A Simple Hamiltonian Monte Carlo Example with TensorFlow Probability
2020-07-24
Regression Analysis & Visualization
2020-06-26
A Glimpse into TensorFlow Probability Distributions
2020-06-16
Disease Spread Simulation (Animation)
2020-04-28
Getting Started with Spectral Clustering
2020-04-04
The Volume of the d-Ball via Monte Carlo Simulation
2020-02-24
Forecasting Weekly Data with Prophet
2020-02-21
Exploring TensorFlow Probability STS Forecasting
2020-02-11
Intro ML in Production: Flask, Docker and GitHub Actions
2020-01-28
Drawing Manifolds in LaTeX with TikZ
2020-01-10
Open Data: Germany Maps Viz
2020-01-07
2019
The Graph Laplacian & Semi-Supervised Clustering
2019-12-05
The Lapacian on the 2-Torus
2019-10-13
PyData Berlin 2019: Gaussian Processes for Time Series Forecasting (scikit-learn)
2019-10-10
satRday Berlin 2019: Remedies for Severe Class Imbalance
2019-06-15
Seasonal Bump Functions
2019-04-11
An Introduction to Gaussian Process Regression
2019-04-08
Bayesian Regression as a Gaussian Process
2019-04-01
Sampling from a Multivariate Normal Distribution
2019-03-23
Dockerize a ShinyApp
2019-03-02
The Spectral Theorem for Matrices
2019-02-02
Movie Plots Text Generation with Keras
2019-01-13
Exploring the Curse of Dimensionality - Part II.
2019-01-01
2018
Text Mining, Networks and Visualization: Plebiscito Tweets
2018-12-20
Exploring the Curse of Dimensionality - Part I.
2018-12-09
From Pelican to Blogdown
2018-12-02
\(S^1\)-Equivariant Dirac operators on the Hopf Fibration
2018-11-11
Introduction to R Plumber : Expose a Caret model to a web API
2018-10-12
Circle Radius Fit for a Cloud of Points
2018-09-09
From Bachelor to PhD: Geometric and Topological Methods for Quantum Field Theory
2018-08-02
PyData Berlin 2018: On Laplacian Eigenmaps for Dimensionality Reduction
2018-07-08
2017
Probability that a given observation is part of a bootstrap sample?
2017-11-29
Induced Dirac-Schrödinger operators on semi-free circle quotients
2017-11-11
Introduction to Bayesian Modeling with PyMC3
2017-08-13
Web scraping with Beautiful Soup: Plebiscito Colombia (October 2nd)
2017-07-09
The Dirac operator on the 2-sphere
2017-06-29
Python Exercise: Distance to Rectangle
2017-06-28