@mohammad.junaeidi: #حكم #عبارات #💔🥀 #اقتباسات

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Monday 24 August 2026 12:32:59 GMT

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Comments

آلَحًزٍيَنِهّ 💔 :

علمني وندمت انو حبيت

2026-08-24 18:06:36

6

Lamiae_123 :

Yessssssssssss100000%

2026-08-25 03:24:58

0

جورية الحارث :

تسلم البطن ياللي جااابتك كلام حقيقي ☺️

2026-08-24 23:59:15

4

نور القيسي :

فعـــہــــ﴿🌹﴾ـــــــہلا كلامك صحيحخ

2026-08-26 01:49:10

0

kola wka :

اصعب درس في الحياة جرب انك تحب انسان من كل قلبك وخاف عليه من الهوا الطاير وحن له وبوعدك وعد لغير يعلمك درس بعمرك ما ح تنساه بحياتك

2026-08-24 20:27:39

5

فلسطينه. يا خال :

اه والله كلامك ميه الميه علمني درس ما بنسا. بحياتي

2026-08-24 12:38:00

3

وهبي السويحلي 🐊🔥🔝 :

كرهت حاجه اسمها بشر ع وجه الارض

2026-08-24 18:14:58

3

Ashraf :

علمني درس اكرها طيبه وبشر💔😔

2026-08-24 18:39:09

1

🆂🄰🅵🄰🅰 313 🎗 :

علمني وكان درس قوي 💔💔

2026-08-24 23:41:28

2

dyogv78n5fxi :

الكلام ده اهو ما يحسوش الا اللي عاشوا

2026-08-24 20:04:19

1

صافي :

رسالتك نعمه يلي انا شفته

2026-08-25 23:46:44

0

محمد الربيعي :

علمني 💔

2026-08-24 15:44:38

1

Almaknassia :

والله صدقت

2026-08-26 00:33:20

0

الم الفراق :

أي والله صدقت

2026-08-25 23:35:47

0

دايم على البال :

2026-08-26 00:16:36

0

لمى زياد :

اه والله 👍

2026-08-26 00:01:10

0

😍 :

فعلااا والله كلمه صحيح

2026-08-26 00:01:19

0

The sun and the tree :

اي والله صحيح

2026-08-25 22:26:31

0

وعد وعد💞 :

ههههه ههه صح

2026-08-25 21:48:47

0

(@abood@) :

اي والله💔😔

2026-08-26 02:32:50

0

مـحمـد ورفليـﮯ 🇱🇾🇹🇷 :

اييي والله

2026-08-25 22:34:07

0

La Fleur Noir :

إيييييه والله وحياتك بعمرك ما راح تنساه

2026-08-25 22:00:40

0

القياده :

جزاك الله خيرا الجزاء

2026-08-25 23:31:42

0

HAÏDAR ALI :

حقيقة والله

2026-08-24 12:45:16

0

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Other Videos

Evaluation Metrics for Multi-Class Classification in Python Explore essential metrics and techniques for evaluating multi-class classification models. From basic accuracy to advanced metrics like Matthews Correlation Coefficient and ROC AUC, discover how to properly assess model performance across multiple classes. Dive into practical examples using scikit-learn and real-world datasets. Level: Beginner to Intermediate. You can find, for free, this and all others slideshow on the xbe.at website. #python #datascience #machinelearning #classification #coding #stem #computerscience #ai #statistics #sklearn Key points to reinforce your learning journey in classification metrics: 1. Start with simple metrics (accuracy, precision) but always explore beyond. Each metric tells a different part of the story about your model's performance. Keep notes about when each metric is most appropriate. 2. Always visualize your results. Confusion matrices and ROC curves aren't just fancy outputs - they're crucial tools for understanding where your model succeeds and fails. 3. Test your metrics implementation. Small mistakes in metric calculations can lead to wrong conclusions. Validate your results using multiple approaches and cross-reference with established libraries. 4. Consider class imbalance. Most real-world datasets aren't perfectly balanced - document how this affects different metrics and which ones are most reliable for your specific case. 5. Build a metrics toolkit. Create reusable functions for your most-used metrics combinations. This helps maintain consistency across different projects and saves time in the long run. 6. Practice with diverse datasets. Each domain and data type brings unique challenges in evaluation. The more varied your experience, the better you'll understand which metrics matter most in different contexts.

Evaluation Metrics for Multi-Class Classification in Python Explore essential metrics and techniques for evaluating multi-class classification models. From basic accuracy to advanced metrics like Matthews Correlation Coefficient and ROC AUC, discover how to properly assess model performance across multiple classes. Dive into practical examples using scikit-learn and real-world datasets. Level: Beginner to Intermediate. You can find, for free, this and all others slideshow on the xbe.at website. #python #datascience #machinelearning #classification #coding #stem #computerscience #ai #statistics #sklearn Key points to reinforce your learning journey in classification metrics: 1. Start with simple metrics (accuracy, precision) but always explore beyond. Each metric tells a different part of the story about your model's performance. Keep notes about when each metric is most appropriate. 2. Always visualize your results. Confusion matrices and ROC curves aren't just fancy outputs - they're crucial tools for understanding where your model succeeds and fails. 3. Test your metrics implementation. Small mistakes in metric calculations can lead to wrong conclusions. Validate your results using multiple approaches and cross-reference with established libraries. 4. Consider class imbalance. Most real-world datasets aren't perfectly balanced - document how this affects different metrics and which ones are most reliable for your specific case. 5. Build a metrics toolkit. Create reusable functions for your most-used metrics combinations. This helps maintain consistency across different projects and saves time in the long run. 6. Practice with diverse datasets. Each domain and data type brings unique challenges in evaluation. The more varied your experience, the better you'll understand which metrics matter most in different contexts.

💨 Máy sấy tóc Camy – Sấy nhanh, tóc khô mà vẫn mềm mượt ✨#camy #maysaytoccamy

💨 Máy sấy tóc Camy – Sấy nhanh, tóc khô mà vẫn mềm mượt ✨#camy #maysaytoccamy

Easy meal #health #shilajit

Easy meal #health #shilajit

# இதை ஓதிவிட்டு அல்லாஹ்விடம் கேளுங்கள்

# இதை ஓதிவிட்டு அல்லாஹ்விடம் கேளுங்கள்

人気配信者と被った試合が......#荒野ダンス暴走王 #荒野バババン8周年 #荒野行動 #いむくんっ！

人気配信者と被った試合が......#荒野ダンス暴走王 #荒野バババン8周年 #荒野行動 #いむくんっ！

❤️🌹

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