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@tican.zrn:
Tican.zrn
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Region: DE
Monday 03 November 2025 01:12:30 GMT
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Comments
𝐒 𝐎 𝐅 𝐈 𝐀 :
Ich liebe diese Frau Hahahah
2025-11-03 01:14:54
103
melissatee._ :
heule
2025-11-03 14:15:11
11
𝒻𝑒𝓁𝒾𝓃𝒶 :
ich auch bruder alles gut
2025-11-03 01:55:46
63
𝒜🍓🇹🇷 :
HAHAHAHAHA wie real is sie
2025-11-04 01:46:43
25
𝑌𝐸 :
Du bist die coolste
2025-11-03 01:41:39
7
MARYA💙 :
Trotzdem hübsch ❤️🌹
2025-11-04 20:35:15
2
sosaannnn :
Verstehe nicht wieso ich dir nicht schon lange folge 😭😭😭😂
2025-11-03 10:16:44
4
🤍 :
So lustig dieses Frau 😂
2025-11-03 09:48:23
3
𝑙𝑢𝑎𝑛𝑎-𝑐𝑖𝑛𝑡𝑖𝑎 :
me to bro me to
2025-11-05 00:28:33
0
blerta :
@denisa.miroci @Mizgin beste leben
2025-11-04 06:33:27
2
t455 :
@dx98
2025-11-07 21:52:00
1
Sude :
🥲
2025-11-03 01:15:23
0
🇦🇷V :
😂
2025-11-10 17:29:20
0
𝐀𝐀 🇦🇿🇩🇪 :
😔
2025-11-05 11:14:27
0
Albona :
@nadire 🌼 @winterbunko
2025-11-04 21:25:09
0
Benjamin Bössilng :
❤
2025-11-03 18:41:24
0
️ d͟e͟r͟y͟a͟ :
😭😭😭😭😭😭😭😭
2025-11-03 01:52:31
0
dx98 :
@t455
2025-11-07 21:51:50
0
To see more videos from user @tican.zrn, please go to the Tikwm homepage.
Other Videos
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Let’s build a machine learning model that finds F1’s most underrated and overrated drivers. GitHub: github.com/TiffinTech/f1_underrated_drivers I’m curious if you’ll agree with it. First, we’re building a Random Forest model that strips away team advantage to find truly underrated drivers. Our model looks at 8 key performance metrics: • Qualifying position • Teammate comparisons • Grid vs. finish position • DNFs and pit stops Here’s the cool part: we’re using a Random Forest Regressor. It learns the relationship between these metrics and points scored — but, and this is crucial — we deliberately exclude team names and car performance. The model analyzes: • 7 races from 2023 • 3 races from 2024 That’s over 200 driver performances! Each driver gets two scores: • Actual points scored • Predicted points based on raw performance The gap between these? That’s our “underrated score.” So when a driver consistently outperforms their teammate, gains positions, and nails qualifying — but doesn’t have the points to show for it — our AI spots it. Let’s see the results… OK, do you agree with this? #Tech #technology #stem #ai
#palembang
real twin #s2000
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