Update README.md

Author: suvoooo

README.md

@@ -41,4 +41,4 @@
 *31092020: pima_diabetes.ipynb*, file contains description of data preparation and choosing best machine learning algorithm for binary classification task. 
 Little more details on [kaggle kernel](https://www.kaggle.com/suvoooo/eda-and-choosing-best-classifier-on-pima-diabetes). 
 
-*15112020: terrorism_kaggle.ipynb*, Notebook contains elaborate examples on how to think about problems and interpret large scale data using [Global Terrorism Database](https://www.kaggle.com/START-UMD/gtd). Apart from Pandas Groupby, Crosstab methods I have also used Folium, Basemap libraries for visualizing Leaflet map and 2D data on maps respectively.     
+*15112020: terrorism_kaggle.ipynb*, Notebook contains elaborate examples on how to think about problems and interpret large scale data using [Global Terrorism Database](https://www.kaggle.com/START-UMD/gtd). Apart from Pandas Groupby, Crosstab methods I have also used Folium, Basemap libraries for visualizing Leaflet map and 2D data on maps respectively. More on [The Startup](https://medium.com/swlh/practical-data-analysis-using-pandas-global-terrorism-database-20b29009adad).