sethuiyer / visualize-got

This code attempts to visualise the Game of thrones dataset in kaggle using t-SNE Visualization

visualize-GOT

This code attempts to visualise the Game of thrones dataset in kaggle, Particularly T-SNE Visualization

Question 1:

To which class is the NaN of the battles[last_row][attacker_outcome_column] is similar to? Win or Lose?

Executing python visualise_battle.py, we have this following graph

So, Mostly it is similar to the win outcome.

Question 2:

How allegiances, nobility and the appearence in the book affect the gender of charecter deaths.

We see some outliers in the death of male charecters.

Question 3:

Which feature is more powerful in the prediction? Popularity or the fact that charecter is actually alive or not?

Here, we see clusters are forming among the classes which have the common theme of popularity. Hence, we can say popularity is much more a powerful feature in the prediction.