uz
Feedback
Machine Learning

Machine Learning

Kanalga Telegram’da o‘tish

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Ko'proq ko'rsatish

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 123 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 380-o'rinni va Suriya mintaqasida 231-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 123 obunachiga ega bo‘ldi.

25 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 395 ga, so‘nggi 24 soatda esa 12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 1.89% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.31% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 758 marta ko‘riladi; birinchi sutkada odatda 525 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Yuqori yangilanish chastotasi (oxirgi ma’lumot 26 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

40 123
Obunachilar
+1224 soatlar
+697 kunlar
+39530 kunlar

Ma'lumot yuklanmoqda...

Obunachilarni jalb qilish
Iyun '26
Iyun '26
+511
4 kanalda
May '26
+748
10 kanalda
Get PRO
Aprel '26
+423
8 kanalda
Get PRO
Mart '26
+286
7 kanalda
Get PRO
Fevral '26
+467
12 kanalda
Get PRO
Yanvar '26
+624
13 kanalda
Get PRO
Dekabr '25
+678
14 kanalda
Get PRO
Noyabr '25
+642
3 kanalda
Get PRO
Oktabr '25
+1 052
9 kanalda
Get PRO
Sentabr '25
+1 012
8 kanalda
Get PRO
Avgust '25
+470
3 kanalda
Get PRO
Iyul '25
+1 113
14 kanalda
Get PRO
Iyun '25
+876
5 kanalda
Get PRO
May '25
+1 030
2 kanalda
Get PRO
Aprel '25
+1 368
2 kanalda
Get PRO
Mart '25
+820
1 kanalda
Get PRO
Fevral '25
+1 068
6 kanalda
Get PRO
Yanvar '25
+1 062
4 kanalda
Get PRO
Dekabr '24
+895
4 kanalda
Get PRO
Noyabr '24
+1 359
14 kanalda
Get PRO
Oktabr '24
+1 841
14 kanalda
Get PRO
Sentabr '24
+1 406
16 kanalda
Get PRO
Avgust '24
+1 739
13 kanalda
Get PRO
Iyul '24
+1 108
14 kanalda
Get PRO
Iyun '24
+1 335
12 kanalda
Get PRO
May '24
+1 257
15 kanalda
Get PRO
Aprel '24
+1 349
7 kanalda
Get PRO
Mart '24
+1 778
11 kanalda
Get PRO
Fevral '24
+1 882
12 kanalda
Get PRO
Yanvar '24
+2 482
16 kanalda
Get PRO
Dekabr '23
+1 638
17 kanalda
Get PRO
Noyabr '23
+1 420
14 kanalda
Get PRO
Oktabr '23
+811
15 kanalda
Get PRO
Sentabr '23
+1 076
0 kanalda
Get PRO
Avgust '23
+1 246
0 kanalda
Get PRO
Iyul '23
+4 094
0 kanalda
Get PRO
Iyun '23
+1 831
0 kanalda
Get PRO
May '23
+1 304
0 kanalda
Sana
Obunachilarni jalb qilish
Esdaliklar
Kanallar
26 Iyun+6
25 Iyun+18
24 Iyun+38
23 Iyun+34
22 Iyun+9
21 Iyun+10
20 Iyun+10
19 Iyun+8
18 Iyun+13
17 Iyun+17
16 Iyun+23
15 Iyun+33
14 Iyun+24
13 Iyun+14
12 Iyun+27
11 Iyun+12
10 Iyun+20
09 Iyun+8
08 Iyun+14
07 Iyun+18
06 Iyun+17
05 Iyun+24
04 Iyun+24
03 Iyun+26
02 Iyun+33
01 Iyun+31
Kanal postlari
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds

2
Matn yo'q...
1 216
3
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
43
4
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
35
5
Matn yo'q...
773
6
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
29
7
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
1
8
PANDAS — CHEAT SHEET 1. DATA LOADING Method | What it does ----------------+-------------------- pd.read_csv() | Reads CSV file pd.read_excel() | Reads Excel file pd.read_sql() | Reads data from SQL pd.read_json() | Reads JSON file 2. DATA ANALYSIS Method | What it does --------------+--------------------------- df.head() | Shows first rows df.info() | Table information df.describe() | Statistics by columns df.shape | Table size (rows, columns) df.columns | List of column names 3. DATA SELECTION Method | What it does -----------+---------------------------------- df.loc[] | Selection by row and column names df.iloc[] | Selection by indices df.query() | Filtering by condition 4. DATA CLEANING Method | What it does ---------------------+-------------------------------- df.isnull() | Check for missing values (NULL) df.dropna() | Remove rows with missing values df.fillna() | Fill missing values df.drop_duplicates() | Remove duplicates df.astype() | Change data type 5. ANALYTICS Method | What it does ------------------+---------------------------- df.groupby() | Data grouping df.agg() | Aggregation in groups df.value_counts() | Count of unique values df.mean() | Mean value df.median() | Median df.corr() | Correlation between columns 6. DATA MERGING Method | What it does ------------+--------------------- pd.merge() | SQL JOIN by column pd.join() | JOIN by index pd.concat() | Glue tables together ⭐ TOP 10 METHODS read_csv() head() info() loc[] iloc[] query() groupby() merge() fillna() sort_values()
976
9
PANDAS — CHEAT SHEET 1. DATA LOADING Method          | What it does       ----------------+-------------------- pd.read_csv()   | Reads CSV file     pd.read_excel() | Reads Excel file   pd.read_sql()   | Reads data from SQL pd.read_json()  | Reads JSON file    2. DATA ANALYSIS Method        | What it does              --------------+--------------------------- df.head()     | Shows first rows          df.info()     | Table information         df.describe() | Statistics by columns     df.shape      | Table size (rows, columns) df.columns    | List of column names      3. DATA SELECTION Method     | What it does                     -----------+---------------------------------- df.loc[]   | Selection by row and column names df.iloc[]  | Selection by indices             df.query() | Filtering by condition           4. DATA CLEANING Method               | What it does                   ---------------------+-------------------------------- df.isnull()          | Check for missing values (NULL) df.dropna()          | Remove rows with missing values df.fillna()          | Fill missing values            df.drop_duplicates() | Remove duplicates              df.astype()          | Change data type               5. ANALYTICS Method            | What it does               ------------------+---------------------------- df.groupby()      | Data grouping              df.agg()          | Aggregation in groups      df.value_counts() | Count of unique values     df.mean()         | Mean value                 df.median()       | Median                     df.corr()         | Correlation between columns 6. DATA MERGING Method      | What it does        ------------+--------------------- pd.merge()  | SQL JOIN by column  pd.join()   | JOIN by index       pd.concat() | Glue tables together ⭐ TOP 10 METHODS read_csv() head() info() loc[] iloc[] query() groupby() merge() fillna() sort_values()
1
10
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
26
11
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
43
12
Matn yo'q...
1 011
13
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
115
14
My favorite way to work with multiple filters in pandas.Series — not a chain of .loc, but a single mask. 🐼 The chain looks neat, but breaks on real data and easily gives unexpected results: s = pd.Series([10, 15, 20, 25, 30]) s.loc[s > 20].loc[s % 2 == 1] The problem is that the second .loc again looks at the original s, not the already filtered result. The logic gets messy. 🤯 It's more reliable to gather everything into one expression: s = pd.Series([10, 15, 20, 25, 30]) mask = (s > 20) & (s % 2 == 1) result = s.loc[mask] One mask, one point of truth. ✅ It's easier to debug. Fewer surprises when the code grows. 🚀 #Pandas #Python #DataScience #CodingTips #DataEngineering #Debugging ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
944
15
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
136
16
A free MIT guide to key computer vision concepts 📘 Link: https://visionbook.mit.edu/ 🔗 #ComputerVision #MIT #AI #MachineLea
A free MIT guide to key computer vision concepts 📘 Link: https://visionbook.mit.edu/ 🔗 #ComputerVision #MIT #AI #MachineLearning #Tech #DataScience ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
1 028
17
Learn AI for free directly from top companies. 🚀 1 - Anthropic: anthropic.skilljar.com 2 - Google: grow.google/ai 3 - Meta: ai.meta.com/resources/ 4 - NVIDIA: developer.nvidia.com/cuda 5 - Microsoft: learn.microsoft.com/en-us/training/ 6 - OpenAI: academy.openai.com 7 - IBM: skillsbuild.org 8 - AWS: skillbuilder.aws 9 - DeepLearning.AI: deeplearning.ai 10 - Hugging Face: huggingface.co/learn 💬 Comment "Learning" if you find this helpful. 🔄 Repost so others can take help. 🔖 Must bookmark for future reference. #AI #MachineLearning #Tech #FreeLearning #DataScience #AIForAll https://t.me/CodeProgrammer
717
18
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
73
19
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
73
20
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer availabl
New to LBank? Unlock VIP2 and Trading Rewards VIP2 trial, transfer rewards, and trading bonuses for new users. Offer available until June 30. Sponsored By WaybienAds
1