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Suhrob Abdullayev

@sukhrob_abdullaev
Channel's geo and language: Uzbekistan, English
Category: Telegram

Bir dasturchining fikrlari, va sohada ilm ulashishi uchun blog sifat kanal.
dm: @sukhrob_abdullayev
🎯 Fikrlog: @sukhrob_fikrlog
☕️buymeacoffee.com/sukhrobabdullaev

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Suhrob Abdullayev

26 Jan, 10:35

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Suhrob Abdullayev

26 Jan, 00:18

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#kodj #networking #ai

25.01 kuni AI bo'yicha asosan Koreyadagi O'zbek dasturchilar hamjamyati tomonidan tashkil qilingan navbatdagi event bo'lib o'tdi.

AI bo'yicha mutaxassis akalarimiz speakerlik qilishdi, Bekhzod aka Olimov (5-6 yillik tajriba) va Jumabek aka Alikhan (10 yillik tajriba), haqiqatdan juda ajoyib insaytlar oldim, baraka topshsin, AI/ML ga bo'lgan qiziqishimni yanada oshirishdi va o'zaro suhbatlar juda ajoyib.

- PHD darajamni AI bo'yicha o'qish niyatim bor edi, ular bu yoo'llarda o'tkan ekan, ancha + bo'ldi.

P.s: Albatta Eventlardan, faqat va faqat foyda olamiz. #networking #experience #insight #sharing ....

- Linkedin sahifalariga kirib bemalol tanishib chiqib, tanishsangiz ham bo'ladi.

@sukhrob_abdullaev
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Suhrob Abdullayev

25 Jan, 18:36

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Suhrob Abdullayev

25 Jan, 18:33

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Suhrob Abdullayev

25 Jan, 18:03

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dots graph
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Suhrob Abdullayev

25 Jan, 18:02

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1. Histogram - Bell Curve
2. Normal Distribution
3.

Z Score
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Suhrob Abdullayev

25 Jan, 17:43

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1. MAD - Mean Absolute Deviation

To calculate MAD:

Find the mean of the scores: (75 + 72 + 68 + 65 + 67 + 73) / 6 = 70
For each score, calculate the absolute difference from the mean:
Mohan: |75 - 70| = 5
Andrea: |72 - 70| = 2
Sofia: |68 - 70| = 2
Joe: |65 - 70| = 5
Virat: |67 - 70| = 3
Abdul: |73 - 70| = 3
Add up the absolute differences: 5 + 2 + 2 + 5 + 3 + 3 = 20
Divide the sum by the number of scores to get the MAD: 20 / 6 = 4.8

2. SD - Standard Deviation

Find the mean of the scores: 70
For each score, calculate the squared difference from the mean:
Mohan: (75 - 70)^2 = 25
Andrea: (72 - 70)^2 = 4
Sofia: (68 - 70)^2 = 4
Joe: (65 - 70)^2 = 25
Virat: (67 - 70)^2 = 9
Abdul: (73 - 70)^2 = 9
Add up the squared differences: 25 + 4 + 4 + 25 + 9 + 9 = 76
Divide the sum by the number of scores: 76 / 6 = 12.67
Take the square root to get the SD: sqrt(12.67) = 4.11

Misollar bilan farqi.
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Suhrob Abdullayev

25 Jan, 17:21

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48.895 ta datadan outlierni olib tashadik va bizda qoldi. 48.017 ta data qoldi

Prenctile orqali outlierlarni olib tashadik Pandas orqali
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Suhrob Abdullayev

25 Jan, 17:01

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Suhrob Abdullayev

25 Jan, 16:39

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jupyterdan foydalanyapmiz.
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Suhrob Abdullayev

25 Jan, 16:01

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Using the Interquartile Range (IQR) Method.

Find an outlier.
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Suhrob Abdullayev

25 Jan, 15:58

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- Mean, Median
- Handle missing value
- Exclude outlier
- Percentile

https://www.statisticshowto.com/probability-and-statistics/percentiles-rank-range/
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Suhrob Abdullayev

25 Jan, 15:35

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Outlier haqida.
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Suhrob Abdullayev

25 Jan, 15:12

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Suhrob Abdullayev

24 Jan, 18:18

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Bugun Python session 21-kun || Data Science

🕔 UZB vaqti: 17:00
⏰ KR vaqti: 21:00

▶️ Playlist: Python live session 31 DAYS
🖤 LIVE: qo'ng'roqchani bosib qo'yish uchun.

📊 Bugun Data Scienceni 1-qismini Mathematics va Statistikani yaxshiroq o'rganish bilan boshlaymiz

P.s: LIVE chatda savollar bo'lsa, shu vaqtda javob berib ketaman. Har doimgidek video yozib olinadi.

@sukhrob_abdullaev
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Suhrob Abdullayev

24 Jan, 17:14

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Srazu 5️⃣ dan boshlab ketamiz, yuqoridagilar qo'shimcha sohaga kerak bo'lgani uchun yozgandim.
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Suhrob Abdullayev

24 Jan, 17:07

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👩‍💻 DATA SCIENCE va AI/ML sohalariga ga tayyormisiz?

1️⃣PYTHON

- 👩‍💻 Automate the Boring Stuff: https://automatetheboringstuff.com
- Python docs: https://docs.python.org/3/tutorial

2️⃣ Version Control (Git) + GitHub

- 👩‍💻 GitHub: https://docs.github.com/en/get-started
- 👩‍💻 https://git-scm.com/book/en/v2

3️⃣Data Structures and Algorithms

- Alohida challengeda kutilmoqda...

4️⃣ SQL

- 👩‍💻 SQL Bolt: https://sqlbolt.com
- Programiz: https://www.programiz.com/sql
- practice.

5️⃣ Mathematics & Statistics

- 📊Common topics for Data Science: https://youtube.com/playlist?list=PLeo1K3hjS3uuKaU2nBDwr6zrSOTzNCs0l&si=hs_wpWwchg9Sktjw
Optional to see 👀
- Linear Algebra: https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&si=ecQsxnjm6kjSHeX2
- Essence of Calculus: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr

6️⃣ Data Collection & Visualization

- 📈 Data Visualization: https://www.kaggle.com/learn/data-visualization
- W3schools: https://www.w3schools.com/datascience
- SimpliLearn: https://youtu.be/MiiANxRHSv4

7️⃣Machine Learning Fundamentals

- Ikboljon aka AI scientist (Phd @ Oxford): https://youtube.com/playlist?list=PL49k1K6OklKAuDcOSz07g2OYPgH1JSfQ7&si=qJoWYo9wzX02uCOA
- Coursera by Andrew Ng: https://www.coursera.org/specializations/machine-learning-introduction
- 👩‍💻 Google ML course: https://developers.google.com/machine-learning/crash-course

8️⃣9️⃣ Others (will be updated/added)

- Hozircha mendagi resurslar va ketma-ketlikdagi rejalarim shu, albatta AI (Suniy Intellekt ) sohasi ancha katta, AI bo'yicha ma'lum soha tanlamadim hali, challenge davomida albatta bittasini tanlab, shu bo'yicha o'rganamiz.
Ketma-ketlik aniq tuzilgan deya olmaymanu, lekin albatta docs va videolardan ko'rib amaliy qilib ketaveramiz, va albatta ishonchim komilki, o'rganish davomida, miyada mohiyat paydo bo'ladi.


- Tog'ri 11 kunda to'liq o'rgana olmasmiz, lekin mohiyatni anglab,vaqtni vaqtga qo'yib va LIVE ni samarlari o'tkazish uchun haraka qilamiz, InshaAllah

P.s: Agar kimdadir qo'shimcha bo'lsa, ulashsangiz xursand bo'lamiz, va albatta YouTube da eslab o'tamiz.

@sukhrob_abdullaev
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Suhrob Abdullayev

24 Jan, 15:15

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📊Shuni yanada qisqartirib 11 kun qilaylik 💪

Mayli Professional bo'lmasmiz, lekin boshlab olish uchun yaxshi challenge shunday emasmi?
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Suhrob Abdullayev

23 Jan, 17:43

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📱 Reddit dan yaxshi savolga yaxshi javob.

Manba:

- Reja ham tayyor bo'lib qoldi, yaqinda hammasini tashayman.

@sukhrob_abdullaev
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Suhrob Abdullayev

23 Jan, 07:21

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O’zbekistonda birga ishlagan akamiz Fayzulloh aka yaqinda kompaniyalarini ochgandila, bugunga kelib IT park rezidenti bo’libdila, Alloh xayirli qilsin 🤲
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