Update README.md

frederikhoengaard · frederikhoengaard · commit cb2c16ba00e4 · 2023-05-07T20:44:58.000+02:00
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-<img align="left" width="500" src="doc/logo/transparent_small.png">
 
-0.0.1
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+0.0.1
 
-## About
 
-lazy-learn is a high-level Python interface for automated machine learning (AutoML). While there are many AutoML libraries available each typically solves a niche area of the overall ML pipeline without providing a covering and approachable end-to-end system.
+**lazy-learn** is a high-level Python interface for automated machine learning (AutoML). While there are many AutoML libraries available each typically solves a niche area of the overall ML pipeline without providing a covering and approachable end-to-end system.
 
 The aim of lazy-learn is exactly that. Given a dataset, easy-learn will analyse types and distributions of attributes, preprocess, feature-engineer and ultimately train models to be used for further evaluation or inference. 
 
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 ## Usage
 
 Using lazy-learn revolves around the `LazyLearner` class. You can think of it as a kind of project, and it is the wrapper for any experiment within lazy-learn.
