Multivariate, linear Regression
This post describes how to implement multivariate, linear regression with Python.
This post describes how to implement multivariate, linear regression with Python.
In this lecture you will learn how to set up a polynomial model and what the adjusted R-squared is.
In this tutorial you will learn to set up a simple univariate regression model.
Learn how to create visualisations with the plotnine package.
This lecture will show you how to modify, aggregate and summarise data.
Learn how to create, import, and export dataframes.
Semantic segmentation is a deep learning technique, which is used to classify parts of images, actually each indivdual pixel, to different classes. This video gives you a theorical overview on the topic. This video provides an overview on what we will implement together. And in this video you learn how to implement this technique with …
In this lecture you learn the basics of pretrained models and transfer learning. Let’s get an overview of what we will code together. Now we are ready to start coding.
These slides elaborate on Deep Learning model creation and application.
These slides elaborate on frameworks for Deep Learning.
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