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@itschickiana: Get learning
Itschickiana
Open In TikTok:
Region: GB
Friday 28 August 2026 18:23:51 GMT
20250
1548
25
320
Music
Download
No Watermark .mp4 (
0.83MB
)
No Watermark(HD) .mp4 (
0.83MB
)
Watermark .mp4 (
0.87MB
)
Music .mp3
Comments
𝓛𝒾𝓁𝓁𝓎 🪩🐆💋 :
Shitty knicker queen SLAYYYY!!
2026-08-28 18:31:32
49
Chelsey :
Learning this ASAP it’s so YANNY X
2026-08-28 19:50:54
30
Sophie Smith :
Here if anyone needs a back up dancer 🙋🏻♀️
2026-08-28 20:44:23
2
alfiewhiley⭐️ :
Learning this immediately
2026-08-28 18:31:17
6
mattwontstfu :
can I be in the music video? Xx
2026-08-29 20:21:21
0
Fuggler :
Are you the new member of katseye
2026-08-29 19:11:26
6
Danny :
Can we have a slow mo tutorial pleasiana
2026-08-29 10:20:04
1
nath :
brb learning xxxx
2026-08-28 19:36:40
0
S :
Song of the summer I’m not joking
2026-08-28 22:39:27
0
maiseykendallx :
I was not expecting this 😭
2026-08-28 18:42:08
8
turbomoomz :
This is why I pay my internet billiana 💃
2026-08-29 21:14:20
0
Will Dobbe :
Strictly when? x
2026-08-28 18:26:37
0
adam :
YANNY 😭
2026-09-01 23:22:23
0
Georgia Lace :
when you releasing the ep
2026-08-29 09:21:22
1
Nyah Yasemin Onurlu :
Ohhh I loveee this 😂😂
2026-08-28 19:33:44
1
andrè :
Love this
2026-08-29 00:09:36
0
King Harry :
here we go
2026-08-28 18:37:39
2
Petros Ihaka ☭ :
2026-08-30 12:38:16
0
tracyevans5610 :
are you doing this for a show or jyst for fun and keeping trim. love the background music 🎶 xx
2026-09-10 13:16:14
0
ellie :
@heelsfirstx new choreography ideas babe x
2026-08-29 06:02:42
1
luke :
@nev i have to tag u in vids now because i cant send u them x
2026-08-28 18:25:56
1
To see more videos from user @itschickiana, please go to the Tikwm homepage.
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هذا ما نراه اليوم السعوديه لوحدها تقاتل وتسترجع كرامة الأمة العربية والإسلامية
ganteng mulu ah lu tee 😫 #tee_vtp #teeradechvitheepanich #teeradech #dewtee #gmmtv
I’m obsessed with this song 😩❤️
[MIỄN SHIP] Chăn MUJI Cotton#chankegiare #changagoidem #chan4mua #changa #chanke
sweet life
Ridge Regression doesn’t change your dataset… it changes your mindset 🤝 When your model is overfitting (too perfect on training but weak in testing), Ridge puts a “penalty” on large coefficients to control the complexity. ⚖️ 🔍 What Actually Happens? ✅ Coefficients Shrink: Ridge adds L2 penalty → forces large weights to become smaller → model becomes simple, stable & less sensitive to noise. ✅ Bias ↑ (Slightly) The model accepts a little error to avoid capturing noise. ✅ Variance ↓ (Strongly) Model predictions become more consistent across different datasets → Better generalization 💡 🎯 When to Use Ridge? • When data has multicollinearity (features are correlated) • When your model overfits • When you want smooth, stable predictions 🏁 Formula Reminder: \text{Ridge Loss} = \sum (y - \hat{y})^2 + \lambda \sum w^2 Where λ (lambda) controls the strength of shrinking 🔹 High λ → more shrinkage 🔹 Low λ → behaves close to linear regression 💡 Key Takeaway: Ridge Regression trades a little Bias to drastically reduce Variance. This trade-off leads to more realistic + stable ML models ✅ ✨ Hashtags: #day66 #machinelearning #ridgeregression #BiasVarianceTradeoff #DataScienceDaily #affiliatemarketingforbeginners #regressionmodels #AICommunity #LearnWithMe #datascience #KashifLearnsAI
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