7 Cool Python Packages Kagglers Are Using Without Telling You by Bekhruz Tuychiev via @TDataScience

Bex T reveals the secrets.

We can all definitely use these and it should help our code be much faster and efficient too. Definitely work a bookmark - I already added it to my own Evernote library so I can refer back to it.

Awesome Tricks And Best Practices From Kaggle by Bex T in @kdnuggets

Easily learn what is only learned by hours of search and exploration.

I really think these can be used in "normal" life and that if you don't have access to Kaggle but want to get into Data Science you really need to add it to your places to look for help and advice.

What 70% of Data Science Learners Do Wrong by Dan Becker via @kdnuggets

Lessons learned from repeatedly smashing his head with a 2-meter long metal pole for a college engineering course.

You definitely need to bookmark this article and make sure you can always get back to it for reference.

How to win Kaggle competition based on NLP task, if you are not an NLP expert by Artem Farazei via @indatalabs

Here is how he got one of the best results in a Kaggle challenge remarkable for a number of interesting findings and controversies among the participants.

This is great for a number of reasons. I like the way it tries to teach you another way of ooking at the problem and yet when you read this it seems so obvious.

Why has Keras been so successful lately at Kaggle competitions? by François Chollet via @Quora

François Chollet, creator of Keras, answered the Quora question "Why has Keras been so successful lately at Kaggle competitions?" It's not the smartest people or the best ideas that win competitions, he says. It's just iteration. Lots and lots of iteration.

I found this interesting.  If you wish to join Kaggle please note there is an examination to gain access.

k-Fold Cross Validation made simple via @AnalyticsVidhya

k-Fold Cross Validation made simple via +Analytics Vidhya - This article introduces the science behind k-fold cross validation & its use in simple terms and explains its implementation in Python.

Nice tie-in with Kaggle competition entries.