Advertising on the Telegram channel «Data Science Book»

🚀 Boost Your IT Exam Prep with SPOTO's FREE Study Materials! 🎉 💡 Ready to Pass Your IT Exam? SPOTO is here to help you succeed! Get SPOTO FREE IT study materials to jumpstart your certification journey. Whether you're preparing for #Cisco, #AWS, #PMP, #Python, #Excel, #Google, #Microsoft, or other certifications, we've got you covered. 🔗🎒Download Free IT Certs Exam E-book: https://bit.ly/4fJSoLP 🔗👩‍💻Test Your IT Skills for Free: https://bit.ly/3PoKH39 🔗📝Download Free Cloud Certs Study Materials:https://bit.ly/4gI4KWk 🔗📲Contact for 1v1 IT Certs Exam Help: https://wa.link/k0vy3x 🌐📚 JOIN IT Study GROUP👇: https://chat.whatsapp.com/E3Vkxa19HPO9ZVkWslBO8s

Title: ChatGPT Cheat Sheet for Data Science (2025) Source: DataCamp Description: This comprehensive cheat sheet serves as an essential guide for leveraging ChatGPT in data science workflows. Designed for both beginners and seasoned practitioners, it provides actionable prompts, code examples, and best practices to streamline tasks such as data generation, analysis, modeling, and automation. Key features include: - Code Generation: Scripts for creating sample datasets in Python using Pandas and NumPy (e.g., generating tables with primary keys, names, ages, and salaries) . - Data Analysis: Techniques for exploratory data analysis (EDA), hypothesis testing, and predictive modeling, including visualization recommendations (bar charts, line graphs) and statistical methods . - Machine Learning: Guidance on algorithm selection, hyperparameter tuning, and model interpretation, with examples tailored for Python and SQL . - NLP Applications: Tools for text classification, sentiment analysis, and named entity recognition, leveraging ChatGPT’s natural language processing capabilities . - Workflow Automation: Strategies for automating repetitive tasks like data cleaning (handling duplicates, missing values) and report generation . The guide also addresses ChatGPT’s limitations, such as potential biases and hallucinations, while emphasizing best practices for iterative prompting and verification . Updated for 2025, it integrates the latest advancements in AI-assisted data science, making it a must-have resource for efficient, conversational-driven analytics. Tags: #ChatGPT #DataScience #CheatSheet #2025Edition #DataCamp #Python #MachineLearning #DataAnalysis #Automation #NLP #SQL https://t.me/CodeProgrammer ⭐️

📕 Think Python, 3rd Edition: Master Python Programming with Jupyter Notebooks! 🐍⭐️ #Python #LearnPython #Coding #JupyterNotebooks #OpenSource #FreeLearning #DataScience #Programming #TechEducation #AllenDowney #ThinkPython ☄️ Why This Book? - Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects. - Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live. - Free & Open Source: Licensed under CC BY-NC-SA—download, share, and contribute! - From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*). - Clear & Engaging: Simplifies complex concepts with humor and real-world analogies. 📈 New in the 3rd Edition: - Updated for modern Python 3 practices. - Fully integrated Jupyter notebooks for interactive learning. - Expanded exercises and case studies. 👩‍💻 Perfect For: - New programmers starting with Python. - Educators teaching coding or data science. - Data enthusiasts who want to code smarter. 🔗 Get It Now: 👉 Web Version: https://allendowney.github.io/ThinkPython/ 🧑‍💻 GitHub Repo: https://github.com/AllenDowney/ThinkPython3 #Python3 #CodeForFree #InteractiveLearning — Unlock Python’s power, one notebook at a time! ⭐️👩‍💻 https://t.me/CodeProgrammer ⭐️ Use ⭐️ Emoji to support us ❤️

📚 Think Stats, 3rd Edition: Master Probability & Statistics with Python! 🐍 #Python #DataScience #Statistics #MachineLearning #DataAnalysis #JupyterNotebooks #OpenSource #LearnToCode #DataVisualization #FreeBook ❤️ Why Grab This Book? - Hands-On Learning: Transform raw data into insights using Python. Perfect for coders who want to dive into stats without drowning in formulas! - Real-World Case Studies: Analyze datasets from the National Institutes of Health and more. Learn by doing, not just theorizing! - Jupyter Notebooks Included: Every chapter comes with interactive notebooks—run code, tweak examples, and solve exercises seamlessly. Ideal for Colab or local setups! - Cutting-Edge Topics: Explore regression, time series analysis, survival analysis, and Bayesian methods. Level up your data science toolkit! - Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today! 💡 Perfect For: - Python devs eager to add stats/data skills. - Data enthusiasts craving practical, code-driven analysis. - Educators seeking a modern, interactive stats resource. 🚀 Get It Now: https://allendowney.github.io/ThinkStats/ 📂 GitHub Repo: https://github.com/AllenDowney/ThinkStats2 #DataDriven #CodeFirst #StatsInPython #FreeLearning — Turn data into wisdom, one line of Python at a time! ⭐️📊 https://t.me/CodeProgrammer ✈️

📚 Title: Python 3 MCQ 📸 Book Cover: Click Here

📚 Title: Data Science with Julia (2019) 📸 Book Cover: Click Here

For all our books and courses (2$) monthly https://t.me/+r_Tcx2c-oVU1OWNi

📚 Title: Advanced Web Development With React (2024) 📸 Book Cover: Click Here

📚 Title: Guida pratica a Python (2024) 📸 Book Cover: Click Here

Python Polars (2025) For all our books and courses (2$) monthly https://t.me/+r_Tcx2c-oVU1OWNi