conda

README.md

@@ -1,6 +1,8 @@
 # MLatImperial2018
 ML at Imperial College
 
+Running locally: [download anaconda](https://www.anaconda.com/download/)
+
 [![run at everware](https://img.shields.io/badge/run%[email protected]?style=flat)](https://everware.ysda.yandex.net/hub/oauth_login?repourl=https://github.com/yandexdataschool/MLatImperial2018) [![Gitter](https://badges.gitter.im/yandexdataschool/MLatImperial2018.svg)](https://gitter.im/yandexdataschool/MLatImperial2018?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
 
 You can run this repository on [https://everware.ysda.yandex.net](https://everware.ysda.yandex.net) (if you have account) by clicking the button above.