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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 136 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 236-o'rinni va Hindiston mintaqasida 9 528-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 42 136 obunachiga ega boโ€˜ldi.

14 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 208 ga, soโ€˜nggi 24 soatda esa 12 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 2.25% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.71% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 947 marta koโ€˜riladi; birinchi sutkada odatda 300 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 3 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 15 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

42 136
Obunachilar
+1224 soatlar
+407 kunlar
+20830 kunlar
Postlar arxiv
Repost from Old Glory Vortex
Trump Takes Action: Tariffs on China, Energy Dominance, Vaccine Ban & IRS Shakeup ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ”ฅ ๐Ÿšจ Major moves from President Trump:
Trump Takes Action: Tariffs on China, Energy Dominance, Vaccine Ban & IRS Shakeup ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ”ฅ ๐Ÿšจ Major moves from President Trump: ๐Ÿ’ฐTariffs on China: Trump announced that he has imposed import duties totaling 600 billion rublesโ€”more than any other U.S. president before him. โšก๏ธEnergy Dominance: Trump signed an executive order creating the National Council for Energy Dominance, chaired by Secretary of State Bergum, aiming to unleash Americaโ€™s full energy potential. ๐ŸšซCOVID-19 Vaccine Ban in Schools: Schools receiving federal funding can no longer require the COVID-1COVID-19 vaccineโ€”a decisive move that shuts down speculation about Trump's stance on vaccines. ๐Ÿ“‰Reports suggest the IRS is prepaIRS is preparing mass layoffs next week followingmajor audit of the agency. ๐Ÿ”ฅBold moves, big changesโ€”whatโ€™s next? #Trump #Tariffs #EnergyDominance #COVID19 #VaccineBan #IRS #China #AmericaFirst #BreakingNews Don't miss it, subscribe to ๐Ÿ“ฑ Old Glory Vortex ๐Ÿ‡บ๐Ÿ‡ธ

๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ˜ Want to master Python and level up your data ana
๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ˜ Want to master Python and level up your data analytics skills?โœจ๏ธ These high-quality tutorials to help you go from beginner to pro!โœ…๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4hXQOHQ ๐Ÿ“ข No cost, no catch โ€“ just pure learning! ๐Ÿš€

๐”๐ฌ๐ข๐ง๐  ๐๐ข๐ -๐Ž ๐ข๐ง ๐ˆ๐ง๐ญ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ๐ฌ ๐š๐ง๐ ๐„๐ฏ๐ž๐ซ๐ฒ๐๐š๐ฒ ๐‹๐ข๐Ÿ๐ž. Big-O notation is a mathematical notation that is used to describe the performance or complexity of an algorithm, specifically how long an algorithm takes to run as the input size grows. Understanding Big-O notation is essential for software engineers, as it allows them to analyze and compare the efficiency of different algorithms and make informed decisions about which one to use in a given situation. Here are famous Big-O notations with examples.

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๐—™๐—ฅ๐—˜๐—˜ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ 1)Business Analysis โ€“ Foundation 2)Business Analysis Fundamentals 3)The Essentials of Business & Risk Analysis  4)Master Microsoft Power BI  ๐—Ÿ๐—ถ๐—ป๐—ธ ๐Ÿ‘‡:- https://pdlink.in/4hHxBdW Enroll For FREE & Get Certified๐ŸŽ“

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Channels that you MUST follow in 2024: โœ… @getjobss - Jobs and Internship Opportunities โœ… @englishlearnerspro - improve your English โœ… @datasciencefun - Learn Data Science and Machibe Learning โœ… @crackingthecodinginterview - boost your coding knowledge โœ… @sqlspecialist - Data Analysts Community โœ… @programming_guide - Coding Books โœ… @udemy_free_courses_with_certi - Free Udemy Courses with Certificate

๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ง๐—ผ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ๐Ÿ˜ 1) Introduction to Cyber Security 2) AWS Cloud
๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ง๐—ผ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ๐Ÿ˜ 1) Introduction to Cyber Security 2) AWS Cloud Masterclass 3)Salesforce Developer Catalyst 4) Python Basics 5) Project Management Basics ๐—Ÿ๐—ถ๐—ป๐—ธ ๐Ÿ‘‡:- https://pdlink.in/4jQJfo5 Enroll For FREE & Get Certified๐ŸŽ“

Essentials for Acing any Data Analytics Interviews- SQL: 1. Beginner - Fundamentals: SELECT, WHERE, ORDER BY, GROUP BY, HAVING - Essential JOINS: INNER, LEFT, RIGHT, FULL - Basics of database and table creation 2. Intermediate - Aggregate functions: COUNT, SUM, AVG, MAX, MIN - Subqueries and nested queries - Common Table Expressions with the WITH clause - Conditional logic in queries using CASE statements 3. Advanced - Complex JOIN techniques: self-join, non-equi join - Window functions: OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag - Query optimization through indexing - Manipulating data: INSERT, UPDATE, DELETE Python: 1. Basics - Understanding syntax, variables, and data types: integers, floats, strings, booleans - Control structures: if-else, loops (for, while) - Core data structures: lists, dictionaries, sets, tuples - Functions and error handling: lambda functions, try-except - Using modules and packages 2. Pandas & Numpy - DataFrames and Series: creation and manipulation - Techniques: indexing, selecting, filtering - Handling missing data with fillna and dropna - Data aggregation: groupby, data summarizing - Data merging techniques: merge, join, concatenate 3. Visualization - Plotting basics with Matplotlib: line plots, bar plots, histograms - Advanced visualization with Seaborn: scatter plots, box plots, pair plots - Plot customization: sizes, labels, legends, colors - Introduction to interactive visualizations with Plotly Excel: 1. Basics - Cell operations and basic formulas: SUMIFS, COUNTIFS, AVERAGEIFS - Charts and introductory data visualization - Data sorting and filtering, Conditional formatting 2. Intermediate - Advanced formulas: V/XLOOKUP, INDEX-MATCH, complex IF scenarios - Summarizing data with PivotTables and PivotCharts - Tools for data validation and what-if analysis: Data Tables, Goal Seek 3. Advanced - Utilizing array formulas and sophisticated functions - Building a Data Model & using Power Pivot - Advanced filtering, Slicers and Timelines in Pivot Tables - Crafting dynamic charts and interactive dashboards Power BI: 1. Data Modeling - Importing data from diverse sources - Creating and managing dataset relationships - Data modeling essentials: star schema, snowflake schema 2. Data Transformation - Data cleaning and transformation with Power Query - Advanced data shaping techniques - Implementing calculated columns and measures with DAX 3. Data Visualization and Reporting - Developing interactive reports and dashboards - Visualization types: bar, line, pie charts, maps - Report publishing and sharing, scheduling data refreshes Statistics: Mean, Median, Mode, Standard Deviation, Variance, Probability Distributions, Hypothesis Testing, P-values, Confidence Intervals, Correlation, Simple Linear Regression, Normal Distribution, Binomial Distribution, Poisson Distribution

Repost from Trump's Ear
George Soros said at the WEF that President Trump is a fraud and a complete narcissist who wants the world to revolve around him. #Soros #WEF #Trump ๐Ÿ‘‚ More on Trump's Ear โš ๏ธ

Machine learning Models.pdf2.35 KB

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ & ๐—จ๐—ป๐—น๐—ผ๐—ฐ๐—ธ ๐—›๐—ถ๐—ด๐—ต-๐—ฃ๐—ฎ๐˜†๐—ถ๐—ป๐—ด ๐—ข๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜๐˜‚๐—ป๐—ถ๐˜๐—ถ๐—ฒ๐˜€!๐Ÿ˜ Top 3 Free YouTube Pla
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๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ฐ๐—น๐—ฎ๐˜€๐˜€ ๐—ข๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€๐Ÿ˜ ๐Ÿ” Want to break into Data Analytics? Join ou
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