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@luxuryaccessoriesfp: #rolexdatejust 41mm fluted Jubilee Blue index #luxury #accessories #fanpage #fanlove

luxury accessories fanpage
luxury accessories fanpage
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Region: IT
Saturday 30 May 2026 19:36:22 GMT
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user2152157180449
user2152157180449 :
Buonasera il prezzo per favore
2026-06-04 20:36:15
2
user3588633179776
Francesco C. :
Buon giorno prezzo gentilmente
2026-06-25 13:39:11
1
angelonoto37
angelonoto37 :
bellissimo prezzo?
2026-06-09 13:57:54
1
lucasalvioli328
lucasalvioli328 :
prezzo
2026-06-01 21:07:41
4
antonio.grimaldi0
Antonio :
Prezzo
2026-06-01 06:04:50
4
bigi_giovanni
GIOVANNI BIGI :
prezzo
2026-06-11 11:40:00
0
user4615239092583
user4615239092583 :
Prezzo
2026-06-02 11:04:12
2
39.luxmirpur1
🇧🇩Ayat 🇮🇹🇨🇭 :
prezzo
2026-06-11 14:44:04
1
mattiaapanetta
𝐦𝐚𝐭𝐭𝐢𝐚𝐚𝐩𝐚𝐧𝐞𝐭𝐭𝐚 :
prezzo
2026-06-01 23:52:58
3
romano_stefano
Stefano :
prezzo
2026-06-01 05:35:19
4
stefanodanna63
stefanodanna63 :
Prezzo
2026-06-05 03:37:41
2
andrea.la.terra
Andrea La Terra :
prezzo
2026-06-09 12:07:04
0
antoniobatt78
Antonio :
prezzo
2026-06-11 16:12:24
1
manunta74
manunta74 :
Prezzo?
2026-06-01 17:53:25
2
michele.dambra72
Michele D'Ambra :
prezzo
2026-08-02 21:29:23
0
angeloamoroso3
angeloamoroso3 :
🥰🥰🥰
2026-05-30 21:53:09
0
rayyan.azh
rayyanmuh :
😳😳😳
2026-08-18 13:53:58
0
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Inside the Mind of a Data Scientist 🧠 I didn’t start by picking a CatBoost model right away - I started by understanding the customer data, the class imbalance, and what the business actually needs from the model. Because more customers stay than leave, accuracy alone could be misleading. The real goal is to catch as many likely churners as possible while keeping false alarms manageable, which is why I focused on PR-AUC, precision, recall, and the prediction threshold. CatBoost was a strong fit because the dataset mixes numerical features like tenure and monthly charges with categorical features like contract type, internet service, and payment method. Instead of making a simple yes-or-no decision, the model produces a churn probability that can be used to prioritize which customers may need support first. Full code: github.com/lerabyte/customer-churn-catboost #ml #machinelearning #datascience #ai #STEM
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#respect #viral #keşfet
#respect #viral #keşfet

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