diff --git a/free-courses-en.md b/free-courses-en.md
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--- a/free-courses-en.md
+++ b/free-courses-en.md
@@ -481,6 +481,7 @@
 * [Google's Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/)
 * [Intro to Machine Learning](https://www.kaggle.com/learn/intro-to-machine-learning) (Kaggle)
 * [Intro to Machine Learning Udacity](https://www.udacity.com/course/intro-to-machine-learning--ud120) (Udacity)
+* [Machine Learning](https://www.sololearn.com/Course/machine-learning) (SoloLearn) *(account required)*
 * [Machine Learning Recipes with Josh Gordon](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)
 * [Machine Learning Tutorial Python | Machine Learning For Beginners](https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw) - Dhaval Patel
 * [Machine Learning with Python by Saeed Aghabozorgi](https://cognitiveclass.ai/courses/machine-learning-with-python) (cognitiveclass.ai)
@@ -510,6 +511,7 @@
 ### Misc
 
 * [Advanced Data Structures](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-851-advanced-data-structures-spring-2012/)
+* [Advanced NLP using spaCy](https://course.spacy.io) - Ines Montani
 * [Algorithm Design and Implementation](https://www.youtube.com/playlist?list=PL6EF0274BD849A7D5)
 * [Aml-2018 Ambient Intelligence](https://www.youtube.com/playlist?list=PLqRTLlwsxDL8fUcY2Y54sITILyJcTySpC) (F. Corno - L. De Russis - A. Monge Roffarello)
 * [Berkeley's CS  61B: Data Structures](https://archive.org/details/ucberkeley_webcast_QMV45tHCYNI)