Endi mavjud! Telegram Tadqiqoti 2025 โ yilning asosiy insaytlari 
Data Analytics & AI | SQL Interviews | Power BI Resources
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๐Explore the fascinating world of Data Analytics & Artificial Intelligence ๐ป Best AI tools, free resources, and expert advice to land your dream tech job. Admin: @coderfun Buy ads: https://telega.io/c/Data_Visual
Ko'proq ko'rsatish๐ Telegram kanali Data Analytics & AI | SQL Interviews | Power BI Resources analitikasi
Data Analytics & AI | SQL Interviews | Power BI Resources (@data_visual) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 27 215 obunachidan iborat bo'lib, Taสผlim toifasida 7 206-o'rinni va Hindiston mintaqasida 15 981-o'rinni egallagan.
๐ Auditoriya koโrsatkichlari va dinamika
ะฝะตะฒัะดะพะผะพ sanasidan buyon loyiha tez oโsib, 27 215 obunachiga ega boโldi.
14 Iyun, 2026 dagi oxirgi maโlumotlarga koโra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 255 ga, soโnggi 24 soatda esa 26 ga oโzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oโrtacha 3.99% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.72% ini tashkil etuvchi reaksiyalarni toโplaydi.
- Post qamrovi: Har bir post oโrtacha 0 marta koโriladi; birinchi sutkada odatda 197 ta koโrish yigโiladi.
- Reaksiyalar va oโzaro taโsir: Auditoriya faol: har bir postga oโrtacha 0 ta reaksiya keladi.
- Tematik yoโnalishlar: Kontent |--, sql, learning, analytic, visualization kabi asosiy mavzularga jamlangan.
๐ Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโriflaydi:
โ๐Explore the fascinating world of Data Analytics & Artificial Intelligence
๐ป Best AI tools, free resources, and expert advice to land your dream tech job.
Admin: @coderfun
Buy ads: https://telega.io/c/Data_Visualโ
Yuqori yangilanish chastotasi (oxirgi maโlumot 15 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taสผlim toifasidagi muhim taโsir nuqtasiga aylantirishini koโrsatadi.
27 215
Obunachilar
+2624 soatlar
+527 kunlar
+25530 kunlar
Postlar arxiv
๐ฐ ๐ ๐๐๐-๐๐ผ ๐๐ฅ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฏ๐ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐!๐
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How to be a Prompt Engineer 101
The shortest and most comprehensive guide
1. start with an explanation
Make a description and character situation at the beginning of the Prompt
Error example:
Please help me read the following code:
{your input here}
Correct example:
Now let's play the role, you are a senior information security engineer, I will give you a piece of code, please help me read the code and point out where there may be security vulnerable.
Text: """
{your input here}
"""
2. Prompt to describe the situation
In the prompt, it is necessary to describe the context, result, length, format and style as much as possible
Error example:
Write a short story for kids
Correct example:
Write a funny soccer story for kids that teaches the kid that persistence is the key for success in the style of Rowling.
3. gives output in the format
If you are doing data analysis, please give the input template of the format
Error example:
Extract house pricing data from the following text.
Text: """
{your text containing pricing data}
"""
Correct example:
Extract house pricing data from the following text.
Desired format: """
House 1 | $1,000,000 | 100 sqm
House 2 | $500,000 | 90 sqm
... (and so on)
"""
Text: """
{your text containing pricing data}
"""
4. Add some example questions and answers
Sometimes adding some question and answer examples can make GPT more intelligent
Correct example:
Extract brand names from the texts below.
Text 1: Finxter and YouTube are tech companies. Google is too.
Brand names 2: Finxter, YouTube, Google
###
Text 2: If you like tech, you'll love Finxter!
Brand names 2: Finxter
###
Text 3: {your text here}
Brand names 3:
The question and answer example is also a standard template example in fine-tune
5. Simplify the sentence and clarify the purpose
Keep your words as short as possible and don't say useless content
Error example:
ChatGPT, write a sales page for my company selling sand in the desert, please write only a few sentences, nothing long and complex
Correct example:
Write a 5-sentence sales page, sell sand in the desert.
6. Good at using introductory words
Error example:
Write a Python function that plots my net worth over 10 years for different inputs on the initial investment and a given ROI
Correct example:
# Python function that plots net worth over 10
# years for different inputs on the initial
# investment and a given ROI
import matplotlib
def plot_net_worth(initial, roi):
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#ml #en
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Repost from Data Science Projects
๐ง๐ผ๐ฝ ๐ ๐ก๐๐ ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐๐ & ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ ๐
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Repost from Generative AI
Important Generative AI Terms
Repost from Generative AI
๐ฑ ๐๐ฒ๐๐ ๐๐๐ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐
1)Python for Data Science
2)SQL & Relational Databases
3)Applied Data Science with Python
4)Machine Learning with Python
5)Data Analysis with Python
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How do you start AI and ML ?
Where do you go to learn these skills? What courses are the best?
Thereโs no best answer๐ฅบ. Everyoneโs path will be different. Some people learn better with books, others learn better through videos.
Whatโs more important than how you start is why you start.
Start with why.
Why do you want to learn these skills?
Do you want to make money?
Do you want to build things?
Do you want to make a difference?
Again, no right reason. All are valid in their own way.
Start with why because having a why is more important than how. Having a why means when it gets hard and it will get hard, youโve got something to turn to. Something to remind you why you started.
Got a why? Good. Time for some hard skills.
I can only recommend what Iโve tried every week new course lauch better than others its difficult to recommend any course
You can completed courses from (in order):
Treehouse / youtube( free) - Introduction to Python
Udacity - Deep Learning & AI Nanodegree
fast.ai - Part 1and Part 2
Theyโre all world class. Iโm a visual learner. I learn better seeing things being done/explained to me on. So all of these courses reflect that.
If youโre an absolute beginner, start with some introductory Python courses and when youโre a bit more confident, move into data science, machine learning and AI.
Join for more: https://t.me/machinelearning_deeplearning
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All the best ๐๐
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