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@ludovic_pierre3: Une proposition lunaire

Ludovic_Pierre3
Ludovic_Pierre3
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Region: FR
Tuesday 01 September 2026 18:56:00 GMT
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Comments

lahcen5207
lahcen :
il ne sait pas que le CAP n'existe plus en France
2026-09-01 19:01:23
6
victoire83019
Victoire :
Bein toujours les mêmes 😭😭😭
2026-09-01 18:59:14
4
user9501777146232
user9501777146232 :
il a raison le ministre... il faut occuper les jeunes, et leurs apprendre un métier
2026-09-01 19:20:59
1
latifa7736
latifa77 :
pauvre France
2026-09-01 19:30:31
0
user93295243923352
asco :
2026-09-01 18:59:18
1
cking7500
Ilemkg75 :
Ils veulent une générations d’ inculte, ils s’y emploient tous les jours
2026-09-01 19:40:15
0
maaayaa.a
nassera :
quel élèves vont êtres dirigé dans cette voie à votre avis 🤔🤔
2026-09-01 23:00:35
0
lefougarou
zoo 21 :
j'adore tes punchline Ludo 🤣🤣🤣 retour à l'esclavage 🤣🤣🤣
2026-09-01 19:01:20
2
zozo88533
zozo :
n import quoi
2026-09-01 19:03:46
1
dolciavonimboahan5
Dodo :
ALLEZ tous à l'usine et à la mine à Saint-Etienne
2026-09-01 19:28:19
0
kabylie59000
RTB13 :
il faut d’abord trouver du travail aux adultes et laisser les enfants tranquille
2026-09-01 19:27:46
0
dadafafaange
dadafafaange :
😭😭😭
2026-09-01 20:01:13
0
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Other Videos

NO THIS IS PATRICK 😤 #spongebob #spongebobmemes #spongebobfunnymoments #funnyspongebobmemes #nostalgia #fyp
NO THIS IS PATRICK 😤 #spongebob #spongebobmemes #spongebobfunnymoments #funnyspongebobmemes #nostalgia #fyp
Ever feel like your dataset has way too many features? That’s where Principal Component Analysis (PCA) comes in. It simplifies complex data while preserving the most important patterns. Here is the process: 1️⃣ Standardize: Normalize your data so all features are on the same scale – this is a critical first step. 2️⃣ Rotate: The algorithm calculates the covariance matrix and identifies the eigenvectors (the new axes) that capture the maximum variance. You then rotate your data onto these new axes. 3️⃣ Reduce: You keep only the top components that hold the most information and drop the rest. Why use it? ✅ It removes noise and redundant features. ✅ It speeds up model training. ✅ It turns high-dimensional data into easy-to-visualize 2D or 3D plots. The Trade-offs: ⚠️ Interpretability: Your new components are mathematical blends of original features, making them harder to explain. ⚠️ Variance vs. Relevance: The direction with the most variance isn’t always what’s most predictive for your specific model. ⚠️ Linear Limits: PCA struggles with non-linear, curved, or highly
Ever feel like your dataset has way too many features? That’s where Principal Component Analysis (PCA) comes in. It simplifies complex data while preserving the most important patterns. Here is the process: 1️⃣ Standardize: Normalize your data so all features are on the same scale – this is a critical first step. 2️⃣ Rotate: The algorithm calculates the covariance matrix and identifies the eigenvectors (the new axes) that capture the maximum variance. You then rotate your data onto these new axes. 3️⃣ Reduce: You keep only the top components that hold the most information and drop the rest. Why use it? ✅ It removes noise and redundant features. ✅ It speeds up model training. ✅ It turns high-dimensional data into easy-to-visualize 2D or 3D plots. The Trade-offs: ⚠️ Interpretability: Your new components are mathematical blends of original features, making them harder to explain. ⚠️ Variance vs. Relevance: The direction with the most variance isn’t always what’s most predictive for your specific model. ⚠️ Linear Limits: PCA struggles with non-linear, curved, or highly "tangled" data structures. Despite these limits, it remains a gold standard for cleaning, compressing, and visualizing high-dimensional data. 🧠 #DataScience #MachineLearning #PrincipalComponentAnalysis #DimensionalityReduction #Statistics
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#fyp #parati #foryou
Hardest Paprazzi flashes of all time #paparazzi #flash #celebrity #beyoncé #kendalljenner #ladygaga #parishilton #britneyspears
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حضر قلمك مع كراستك ⭐ #freefire #loverfreefire #freefireegypt #servermenafreefire #egypt #fyp #viral #freestyle #فري_فاير_عرب #tomasff69 #garenafreefire
Tập 1. Shin cậu bé bút chì #shin #caubebutchishin #hoathinh #fyp
Tập 1. Shin cậu bé bút chì #shin #caubebutchishin #hoathinh #fyp

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