Artificial Intelligence & ChatGPT Prompts

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🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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Tarmoq:Data Analytics Hindiston8 947 Texnologiyalar & Aralashmalar3 096...

📈 Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 292 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 096-o'rinni va Hindiston mintaqasida 8 947-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 42 292 obunachiga ega bo‘ldi.

02 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 40 ga, so‘nggi 24 soatda esa -14 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 1.57% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.68% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 663 marta ko‘riladi; birinchi sutkada odatda 286 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 03 Sentabr, 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.

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Obunachilar

-1424 soatlar

+127 kun

+4030 kun

663

Post ko'rishlar

~ 28624 soatlar

~ 39148 soatlar

1.57%

Muloqot nisbati

~ 1

Kuniga postlar

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𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬 𝐋𝐢𝐤𝐞 𝐓𝐂𝐒, 𝐈𝐧𝐟𝐨𝐬𝐲𝐬, 𝐋𝐓𝐈𝐌𝐢𝐧𝐝𝐭𝐫𝐞𝐞, 𝐇𝐂𝐋 , 𝐈𝐁𝐌, 𝐊𝐏𝐌𝐆, 𝐀𝐜𝐜𝐞𝐧𝐭𝐮𝐫𝐞 & 𝐦𝐚𝐧𝐲 𝐦𝐨𝐫𝐞 𝐡𝐢𝐫𝐢𝐧𝐠.. Salary Package:- 4.8 LPA 16 LPA Job Location:- Across India/ Work From Home Qualification :- Any Graduate/ Post Graduate 𝐔𝐩𝐥𝐨𝐚𝐝 𝐘𝐨𝐮𝐫 𝐑𝐞𝐬𝐮𝐦𝐞 👇 :- https://shorturl.at/MYve9 Apply To The Jobs That Matches To Your Profile Note :- Recruiters don't ask money in exchange of job. Becalls Aware of fake calls!

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5 Steps to Learn Front-End Development🚀 Step 1: Basics — Internet — HTTP — Browser — Domain & Hosting Step 2: HTML — Basic Tags — Semantic HTML — Forms & Table Step 3: CSS — Basics — CSS Selectors — Creating Layouts — Flexbox — Grid — Position - Relative & Absolute — Box Model — Responsive Web Design Step 3: JavaScript — Basics Syntax — Loops — Functions — Data Types & Object — DOM selectors — DOM Manipulation — JS Module - Export & Import — Spread & Rest Operator — Asynchronous JavaScript — Fetching API — Event Loop — Prototype — ES6 Features Step 4: Git and GitHub — Basics — Fork — Repository — Pull Repo — Push Repo — Locally Work With Git Step 5: React — Components & JSX — List & Keys — Props & State — Events — useState Hook — CSS Module — React Router — Tailwind CSS Now apply for the job. All the best 🚀

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Repost from Jobs | Internships | Placement | Interviews

𝟰 𝗕𝗲𝘀𝘁 𝗖𝗼𝗱𝗶𝗻𝗴 𝗚𝗮𝗺𝗲𝘀 𝗧𝗵𝗮𝘁 𝗠𝗮𝗸𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗦𝘂𝗽𝗲𝗿 𝗙𝘂𝗻 🎮💻 Tired of boring tutorials? 👨‍💻✔️ Say hello to coding games—a powerful (and fun) way to learn programming by playing💻🚀 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4d3qwma Forget the lectures—code, play, and grow your skills with these interactive platforms!✅️

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You don't need to spend several $𝟭𝟬𝟬𝟬𝘀 to learn Data Science.❌ Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥 Here's 8 free Courses that'll teach you better than the paid ones: 1. CS50’s Introduction to Artificial Intelligence with Python (Harvard) https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python 2. Data Science: Machine Learning (Harvard) https://pll.harvard.edu/course/data-science-machine-learning 3. Artificial Intelligence (MIT) https://lnkd.in/dG5BCPen 4. Introduction to Computational Thinking and Data Science (MIT) https://lnkd.in/ddm5Ckk9 5. Machine Learning (MIT) https://lnkd.in/dJEjStCw 6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT) https://lnkd.in/dkpyt6qr 7. Statistical Learning (Stanford) https://online.stanford.edu/courses/sohs-ystatslearning-statistical-learning 8. Mining Massive Data Sets (Stanford) 📍https://online.stanford.edu/courses/soe-ycs0007-mining-massive-data-sets ENJOY LEARNING

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𝟯 𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗙𝗿𝗲𝘀𝗵𝗲𝗿 𝗠𝘂𝘀𝘁 𝗧𝗮𝗸𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆😍 🎯 If You’re a Fresher, These TCS Courses Are a Must-Do📄✔️ Stepping into the job market can be overwhelming—but what if you had certified, expert-backed training that actually prepares you?👨‍🎓✨️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/42Nd9Do Don’t wait. Get certified, get confident, and get closer to landing your first job✅️

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Steps to Learn Ethical Hacking 👇 1. Basic IT Knowledge: Build a strong foundation in IT, including understanding of operating systems, networks, and programming languages. 2. Learn Networking: Study computer networks, protocols, and how data is transmitted over the internet. 3. Programming Skills: Learn languages like Python, which are commonly used in ethical hacking for scripting and automation. 4. Operating Systems: Gain expertise in Windows and Linux operating systems. 5. Cybersecurity Fundamentals: Understand the basics of cybersecurity, including encryption, firewalls, and intrusion detection systems. 6. Study Tools: Familiarize yourself with ethical hacking tools and software like Wireshark, Metasploit, and Nmap. 7. Online Courses: Take online courses or certifications in ethical hacking and cybersecurity, like Certified Ethical Hacker (CEH) or CompTIA Security+. 8. Hands-on Practice: Set up a virtual lab environment to practice hacking techniques safely. Experiment on your own systems or those you have permission to test. 9. CTFs and Challenges: Participate in Capture The Flag (CTF) competitions and online challenges to apply your skills. 10. Legal and Ethical Guidelines: Always follow ethical and legal standards. Hacking without proper authorization is illegal and unethical. 11. Stay Informed: Continuously update your knowledge as the field of cybersecurity evolves rapidly. 12. Community Involvement: Join forums, online communities, and connect with ethical hackers to learn and share experiences. 13. Certifications: Consider pursuing advanced certifications like Certified Information Systems Security Professional (CISSP) or Certified Information Security Manager (CISM). 14. Specialize: Choose an area of specialization, such as penetration testing, network security, or web application security. 15. Ethical Mindset: Remember that the goal of ethical hacking is to protect systems, not exploit them. ENJOY LEARNING 👍👍

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𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗔𝗪𝗦 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝗯𝘀𝗼𝗹𝘂𝘁𝗲 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍 ☁️ Want to Break Into Cloud Computing? Start Your AWS Journey for Free!📌 Cloud computing is one of the fastest-growing and highest-paying fields in tech. And Amazon Web Services (AWS) leads the way with over 30% of the global market share📊🎊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Skm0pM Click below and start your cloud adventure today✅️

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🔝💻 Top 10 Websites for Coding Practice: 🚀 Hackerrank.com 💡 Leetcode.com ⚔ Codewars.com 🏋️ Exercism.org 🌀 Codeforces.com 🌍 Hackerearth.com 🏆 Topcoder.com ⏲️ Coderbyte.com 🧮 Projecteuler.net 🍽️ Codechef.com

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Here’s a detailed breakdown of critical roles and their associated responsibilities: 🔘 Data Engineer: Tailored for Data Enthusiasts 1. Data Ingestion: Acquire proficiency in data handling techniques. 2. Data Validation: Master the art of data quality assurance. 3. Data Cleansing: Learn advanced data cleaning methodologies. 4. Data Standardisation: Grasp the principles of data formatting. 5. Data Curation: Efficiently organise and manage datasets. 🔘 Data Scientist: Suited for Analytical Minds 6. Feature Extraction: Hone your skills in identifying data patterns. 7. Feature Selection: Master techniques for efficient feature selection. 8. Model Exploration: Dive into the realm of model selection methodologies. 🔘 Data Scientist & ML Engineer: Designed for Coding Enthusiasts 9. Coding Proficiency: Develop robust programming skills. 10. Model Training: Understand the intricacies of model training. 11. Model Validation: Explore various model validation techniques. 12. Model Evaluation: Master the art of evaluating model performance. 13. Model Refinement: Refine and improve candidate models. 14. Model Selection: Learn to choose the most suitable model for a given task. 🔘 ML Engineer: Tailored for Deployment Enthusiasts 15. Model Packaging: Acquire knowledge of essential packaging techniques. 16. Model Registration: Master the process of model tracking and registration. 17. Model Containerisation: Understand the principles of containerisation. 18. Model Deployment: Explore strategies for effective model deployment. These roles encompass diverse facets of Data and ML, catering to various interests and skill sets. Delve into these domains, identify your passions, and customise your learning journey accordingly.

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𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍 Learn Full Stack Development | Data Analytics & Data Science Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 60+ Hiring Drives Every Month 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:- 🌟 500+ Hiring Partners 🤝Trusted by 7500+ Students 💼 Avg. Rs. 7.2 LPA 🚀 41 LPA Highest Package 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 :- https://pdlink.in/4hO7rWY 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://bit.ly/4g3kyT6 Hurry, limited seats available!🏃‍♀️

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Repost from Power BI & Tableau Resources

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍 🚀 Want to Break into Data Analytics? Start with This Free Power BI Course by Microsoft🎯 If you’re trying to enter the field of data analytics but don’t know where to start, Microsoft has your back!💻📍 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4jJvuaq Best part? It’s completely free and created by one of the most trusted names in tech✅️

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🍓 Python Resources to boost your resume in 2025 🍓 𝟭. 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 This a great course to get started with learning Python, if you have no coding experience. 👉 https://kaggle.com/learn/intro-to-programming 𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲 Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science. 👉 https://kaggle.com/learn/python 𝟯. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 👉 https://netacad.com/courses/programming/pcap-programming-essentials-python 𝟰. Python Data Structure and Algorithms 👉 https://t.me/programming_guide/76 𝟱. 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization. 👉 https://freecodecamp.org/learn/scientific-computing-with-python/

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Repost from Data Analyst Jobs

𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 😍 If you’re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunity—completely free! 💡 No prior experience required 📚 Ideal for students, freshers, and aspiring data analysts ⏰ Self-paced — complete at your convenience 🔗 𝗔𝗽𝗽𝗹𝘆 𝗛𝗲𝗿𝗲 (𝗙𝗿𝗲𝗲)👇:- https://pdlink.in/4iKcgA4 Enroll for FREE & Get Certified 🎓

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AI is the next biggest skill to learn. AI experts are earing up to $200000+ per year. Here are 4 FREE courses from Google and Microsoft that most people don't know: https://microsoft.github.io/AI-For-Beginners/? https://www.cloudskillsboost.google/paths/118 https://www.deeplearning.ai/courses/ai-for-everyone/ https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ More free resources: https://t.me/udacityfreecourse

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𝗧𝗼𝗽 𝟱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗪𝗶𝘁𝗵 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲 𝗧𝗵𝗮𝘁 𝗪𝗶𝗹𝗹 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼😍 Tired of Theory? Start Building Real Projects That Get You Noticed📍 If you’re serious about data analytics, building hands-on projects is the best way to grow📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/42WSueL These projects are built to make you stand out✅️

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🖥 Roadmap of free courses for learning Python and Machine learning. ▪Data Science ▪ AI/ML ▪ Web Dev 1. Start with this https://kaggle.com/learn/python 2. Take any one of these ❯ https://t.me/pythondevelopersindia/76 ❯ https://youtu.be/rfscVS0vtbw?si=WdvcwfYR3PaLiyJQ 3. Then take this https://netacad.com/courses/programming/pcap-programming-essentials-python 4. Attempt for this certification https://freecodecamp.org/learn/scientific-computing-with-python/ 5. Take it to next level ❯ Data Visualization https://kaggle.com/learn/data-visualization ❯ Machine Learning http://developers.google.com/machine-learning/crash-course https://t.me/datasciencefun/290 ❯ Deep Learning (TensorFlow) http://kaggle.com/learn/intro-to-deep-learning Please more reaction with our posts Credits: https://t.me/datasciencefree

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𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍 Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified 🎓

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Java vs Python 👆

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Repost from SQL Programming Resources

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Whether you’re a student, fresher, or professional looking to upskill — Microsoft has dropped a series of completely free courses to get you started. Learn SQL ,Power BI & More In 2025 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/42FxnyM Enroll For FREE & Get Certified 🎓