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This was dope man. I was expecting to look at the view counter and see it in the thousands, same with the sub count - undiscovered high quality content! Any plans to do any more stuff similar to this? Would love to see more ML stuff around sports data.

Thank you for taking the time to create this. I have a question regarding the data being used to train the model. It appears you are using the averages from the full season and training the data on games in the past? Wouldn't that be a data leakage? It seems like this concept would be better applied using rolling averages of the games that occurred just prior to each game in the training data.

This is fantastic. I've been trying to do what you accomplished, but I've been working in Access and Excel. Your way is MUCH better, and I'm digging into the code to better understand the details of your approach, so I can port my existing work (if/as possible) to Python--which I'm only basically familiar with. One thing that I've done in my own Access modeling is to weight the factors I'm using. For some work, I use a 10 year history as-is. But for other work I use two years of history plus the current season. In those cases, I assign a weight of 1 to the furthest season back (2022 currently), a weight of 2 for last season (2023) and a weight of 3 for the current season. I'm attempting to give more weight to more recent data. Does weighting make sense in your code? I'm not familiar enough yet with all the functions, so I don't know if/how weighting would impact results. If so, what should I learn to make it happen? But thanks for what you've provided. It's awesome!

loved your video, where can i get data for the 2024 season?

Hey! I was just looking into how to clean the data up, and it seems that the steps within are very inconsistent, from variable names to outright missing methods. One main missing method is "match_games_with_scores_updated" which I assume matches the games in both csv files such that they don't overlap each other. That's the problem I'm having now, hope you can get back to me!

The link isnt working. I was mainly looking for your data.

Hey man I am trying to do this project but I don't see any attacked Google Colab book, please help me out man I am trying to follow along

can i get the code

It works!, thanks!

great keep it up , can u make script using an SRT file to cut the Silence ? But instead of cutting exactly at the specified time, could you cut roughly 2 seconds before and after that time? Thanks!"

cool the code work perfectly love it

I find fascinating how we guy think we kindda outsmart those Capcomp guys, Think about it, those are the most creatives minds in their country. Can a bunch of randoms dudes with internet access can be better storytellers? This reminds me Lev Manovich's book The Language of New Media. One of their thesis is that we no longer can consume media as a whole but a part of our personal database of content, interchangeable bits of pieces with no context. Allow me elaborate on this. We need to Ada's voice be exactly the same as our regular action heroine to be assimilate. No prior existence of context of her story. Ada's a human monster. She fooled that unnamed scientist to hand over information and then leaded hin to the most horrible death while he still though she love him. And Ada is still responsible for Raccoon City fall. So many blood on her hands and you want her to talk like your high school female friend who pretend to be a femme fatale. Maybe I'm overthinking this but that's the reason we are media consumer not art creators. Ada's character to me is portrait with her voice as one the most cold hearted human beings, manipulative, maybe struggling with the guilt of Raccon City or PTSD. One of my favorites animes, Lucky Star even talks about it in one of its episodes of this databasification of our media character tropes back in 2007 but you maybe were too young to watch it.

Still better than the real RE4R voice actress. It's not even close.

:)

Hey! This is incredible! I am currently working through the code and trying to predict playoff games using this method! Will let you know how it turns out. Kudos on the impressive work

And me thinking it was serious lol

💪 Promo*SM

Love!

Thanks, great advice!

Is this the TikTok girl??? Also is this satire cause wtf 🤣

Hope you guys liked the video 🤣 thanks for checking it out