Artificial Intelligence & ChatGPT Prompts

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Python For Data Science Cheat Sheet Python Basics 📌 cheatsheet

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𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Ready to upskill in data science for free?🚀 Here are 3 amazing courses to build a strong foundation in Exploratory Data Analysis, SQL, and Python👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/43GspSO Take the first step towards your dream career!✅️

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𝟰 𝗙𝗿𝗲𝗲 𝗘𝘅𝗰𝗲𝗹 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 (𝟮𝟬𝟮𝟱)😍 When it comes to data analytics, Excel is more than just a spreadsheet tool — it’s your first step into the world of data cleaning, visualization, and decision-making👨‍🎓📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3YOAORp These Excel courses are completely free and offer certificates upon completion!✅️

Here are 20 essential VS Code shortcuts for beginners: 1. Ctrl + P: Open any file quickly 📂 2. Ctrl + /: Toggle line comment 📝 3. Alt + Up/Down: Move a line up or down ↕️ 4. Ctrl + Shift + K: Delete the current line ❌ 5. Ctrl + B: Show/hide the sidebar 📚 6. Ctrl + Space: Trigger IntelliSense for code suggestions 💡 7. Ctrl + Shift + F: Search across files 🔍 8. Ctrl + D: Select the next occurrence of the selected text 📑 9. Ctrl + Shift + L: Select all occurrences of the current selection 🔗 10. Ctrl + Shift + P: Open the Command Palette 📜 11. Ctrl + F2: Rename all occurrences of a variable ✏️ 12. Ctrl + J: Show/hide the integrated terminal 💻 13. Ctrl + `: Open a new terminal 🔧 14. Ctrl + Shift + N: Open a new window 🖼️ 15. Ctrl + W: Close the current editor tab 🗂️ 16. Ctrl + Shift + E: Focus on the file explorer 🗃️ 17. Ctrl + Shift + G: Open the Git view 🔄 18. Ctrl + Shift + M: Open the Problems panel 🚨 19. Alt + Shift + Up/Down: Copy the line up or down 📋 20. Ctrl + Alt + Arrow keys: Split the editor window ✂️ Master these and level up your coding speed! 🚀

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Useful Resources for the programmers 👇👇 Data Analyst Roadmap https://t.me/sqlspecialist/379 Free C course from Microsoft https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019 Interactive React Native Resources https://fullstackopen.com/en/part10 Python for Data Science and ML https://t.me/datasciencefree/68 Ethical Hacking Bootcamp https://t.me/ethicalhackingtoday/3 Unity Documentation https://docs.unity3d.com/Manual/index.html Advanced Javascript concepts https://t.me/Programming_experts/72 Oops in Java https://nptel.ac.in/courses/106105224 Intro to Version control with Git https://docs.microsoft.com/en-us/learn/modules/intro-to-git/0-introduction Python Data Structure and Algorithms https://t.me/programming_guide/76 Free PowerBI course by Microsoft https://docs.microsoft.com/en-us/users/microsoftpowerplatform-5978/collections/k8xidwwnzk1em Data Structures Interview Preparation https://t.me/crackingthecodinginterview/309?single ENJOY LEARNING 👍👍

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Tools & Languages in AI & Machine Learning Want to build the next ChatGPT or a self-driving car algorithm? You need to master the right tools. Today, we’ll break down the tech stack that powers AI innovation. 1. Python – The Heartbeat of AI Python is the most widely used programming language in AI. It’s simple, versatile, and backed by thousands of libraries. Why it matters: Readable syntax, massive community, and endless ML/AI resources. 2. NumPy & Pandas – Data Handling Pros Before building models, you clean and understand data. These libraries make it easy. NumPy: Fast matrix computations Pandas: Smart data manipulation and analysis 3. Scikit-learn – For Traditional ML Want to build a model to predict house prices or classify emails as spam? Scikit-learn is perfect for regression, classification, clustering, and more. 4. TensorFlow & PyTorch – Deep Learning Giants These are the two leading frameworks used for building neural networks, CNNs, RNNs, LLMs, and more. TensorFlow: Backed by Google, highly scalable PyTorch: Preferred in research for its flexibility and Pythonic style 5. Keras – The Friendly Deep Learning API Built on top of TensorFlow, it allows quick prototyping of deep learning models with minimal code. 6. OpenCV – For Computer Vision Want to build face recognition or object detection apps? OpenCV is your go-to for processing images and video. 7. NLTK & spaCy – NLP Toolkits These tools help machines understand human language. You’ll use them to build chatbots, summarize text, or analyze sentiment. 8. Jupyter Notebook – Your AI Playground Interactive notebooks where you can write code, visualize data, and explain logic in one place. Great for experimentation and demos. 9. Google Colab – Free GPU-Powered Coding Run your AI code with GPUs for free in the cloud — ideal for training ML models without any setup. 10. Hugging Face – Pre-trained AI Models Use models like BERT, GPT, and more with just a few lines of code. No need to train everything from scratch! To build smart AI solutions, you don’t need 100 tools — just the right ones. Start with Python, explore scikit-learn, then dive into TensorFlow or PyTorch based on your goal. Artificial intelligence learning series: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y