learning like the machines

How to learn from and reduce complex and high-dimensional shapes.

Introduction

We cannot visualize high-dimensional data above 3 dimensions. So what do we do when we are faced with this situation that is commonplace in nearly every Data Science application? Dimension reduction techniques like PCA often fail because there is a simple assumption to these methods: the data can be linearly…

How to level-up your visualization with the already great package and gridspec

Introduction

While many Data Scientists are quite comfortable with the basics of matplotlib, or more specifically pyplot, not many know that there are numerous ways to level up your visualization skills in the package. …

Create environments and integrate them into Jupyter Notebooks with one command

Photo by Florian Olivo on Unsplash

Introduction

For those who are in the Data Science field, automation is one of their favorite words. Automating simple tasks that often take up unnecessary amounts of time is one of the best skills to have. …

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