This is a really illuminating piece, thanks for creating it!
In some ways none of this feels much of a surprise in terms of clubs needing to 'melt' large datasets into digestible ones - but I loved seeing your approximation of that process. And after the initial doubt over validity, you must have felt quite satisfied that yours produced the same result!
Actually I just wanted to replicate the process and explain the technique. Only after completing the analysis did I realise I stumbled on Cherki. Not complaining of course 😅 it’s a good verification check, isn’t it.
This is a really illuminating piece, thanks for creating it!
In some ways none of this feels much of a surprise in terms of clubs needing to 'melt' large datasets into digestible ones - but I loved seeing your approximation of that process. And after the initial doubt over validity, you must have felt quite satisfied that yours produced the same result!
Great work Martin 🙌
Hi Calum, thank you for the feedback 🙏.
Actually I just wanted to replicate the process and explain the technique. Only after completing the analysis did I realise I stumbled on Cherki. Not complaining of course 😅 it’s a good verification check, isn’t it.
Excellent content and really informative for data scientists. Do you share a Code ?
Thank you, Dimi. Cannot share the code, since I cannot redistribute the data really.
Excellent article Martin. Have subscribed and look forward to your future output 👍🏻
Thank you, Philby 🙏
This is great, thanks
Amazing. Who should Spurs sign to get the next Harry Kane?!