DOC - Add logo to skglm (scikit-learn-contrib#204)

Co-authored-by: Badr-MOUFAD <[email protected]>

Author: mathurinm

README.md

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 <section align="center">
 
-# ``skglm``
+<img src="doc/_static/images/logo.svg" alt="skglm logo" width="34%" align="center"/>
 
 ## A fast ⚡ and modular ⚒️ scikit-learn replacement for sparse GLMs
 
-</section>
-
 ![build](https://github.com/scikit-learn-contrib/skglm/workflows/pytest/badge.svg)
 ![License](https://img.shields.io/badge/License-BSD_3--Clause-blue.svg)
 [![Downloads](https://static.pepy.tech/badge/skglm)](https://pepy.tech/project/skglm)
 [![Downloads](https://static.pepy.tech/badge/skglm/month)](https://pepy.tech/project/skglm)
 [![PyPI version](https://badge.fury.io/py/skglm.svg)](https://pypi.org/project/skglm/)
 
 
+</section>
+
+
 ``skglm`` is a Python package that offers **fast estimators** for sparse Generalized Linear Models (GLMs) that are **100% compatible with ``scikit-learn``**. It is **highly flexible** and supports a wide range of GLMs.
 You get to choose from ``skglm``'s already-made estimators or **customize your own** by combining the available datafits and penalties.