Build Telegram Bots Using Python & Machine learning بالعربي

via Udemy

Go to Course: https://www.udemy.com/course/build-telegram-bots-using-python-machine-learning/

Introduction

Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation: Building and Deploying Chatbots with Python on Coursera** If you are interested in developing intelligent chatbots using Python, this course on Coursera is an excellent choice. It offers a hands-on, project-based approach to building four different types of bots, gradually increasing in complexity and sophistication. Whether you're a beginner or someone looking to expand your skills in AI and API integration, this course provides valuable practical knowledge. **Course Content Overview:** The course starts with the basics, such as setting up the environment with Python and necessary libraries, creating your first simple bot, and understanding the fundamental concepts behind chatbots. As you progress, you'll learn to: 1. **Create and run a simple echo bot** that repeats user inputs, a great starting point for beginners. 2. **Integrate APIs with your bot** to send images or memes based on user input, demonstrating how bots interact with external services. 3. **Build a question-and-answer system** that stores information locally using Pickle files and syncs data with Firebase Database, providing an introduction to persistent data management. 4. **Combine machine learning with chatbots** using sklearn to predict real estate prices by collecting, cleaning data, building models, and deploying them within the bot. **Course Structure:** The course is organized into detailed lessons, including environment setup, bot creation, API connection, and deployment on Heroku. The practical segments such as scraping real estate data, cleaning, modeling, and integrating AI demonstrate how chatbots can be extended beyond basic conversations into intelligent, data-driven applications. **Why Recommend This Course?** - **Hands-On Learning:** The course emphasizes building real bots with step-by-step guidance, ensuring you gain practical experience. - **Diverse Applications:** From simple echo bots to AI-powered predictive models, learners explore various facets of chatbot development. - **Integration Skills:** You'll learn how to connect bots with APIs, databases, and AI models, essential skills in today's tech landscape. - **Deployment:** The course covers deploying your bots on cloud platforms like Heroku, allowing you to bring your projects online. **Who Should Enroll?** - Beginners interested in Python programming and chatbot development. - Developers seeking to integrate AI and machine learning into conversational apps. - Businesses looking to implement automated customer service solutions. - Enthusiasts aiming to explore the latest trends in AI and chatbots. **Final Thoughts:** This course is a comprehensive guide to building and deploying functional, intelligent chatbots using Python. Its project-oriented approach ensures that learners not only understand the concepts but also develop tangible skills. Given the growing importance of chatbots across industries—particularly for customer support—this course provides valuable knowledge to stay ahead in the rapidly evolving field of AI-driven communication. --- **Recommendation:** I highly recommend this course to anyone interested in mastering chatbot development, AI integration, and deploying innovative conversational systems. The practical projects and detailed tutorials make it a valuable resource for learners at various levels. --- Let me know if you'd like a more concise summary or specific highlights to include!

Overview

في هذا الكورس سوف نقوم ببناء اربعة بوتات باستخدام لغة البايثون:1- البوت الاول: في هذا البوت سوف نقوم بالتعديل على ابسط بوت لتكرار المدخلات 2- البوت الثاني: في هذا البوت سوف نقوم بالتواصل مع APIلارسال صورة او Memeعند ارسال اي شيء مدخل 3- البوت الثالث:في هذا البوت سوف نقوم بعمل سؤال وجواب وحفظ المعلومات على نسخة محلية local Pickle file وايضا ارسالها الى قاعدة بيانات Firebase Database.4- البوت الرابع:في هذا البوت سوف نقوم بربط البوت مع مكون ذكاء اصطناعي باستخدام مكتبةsklearn لتوقع اسعار العقارات.من خلال هذا البوت بسوف نقوم بجمع البيانات وتنظيفها وبناء المودل وربطه مع البوت -----------------------------الدروس بالترتيب:IntroductionSetup Environment (Install Python Pip)Create Bot Token using bot fatherSetup Environment (Install Python VirEnv)Setup Environment ( install Python bot lib)First bot (Hello World)First Bot (Line By Line)Preview BotBot send imageConnect to APIBot PreviewHow the Bot workBot Code ExplainConv bot to Quiz BotAdd more questionsSave data to a pickle fileFix sync users issueBot firebase connectionBot final touchesRealEstateteBot scrapingRealEstateteBot data cleaningRealEsate Bot ML modelRealestebot activate ml codeDeploy On Herokuغالبًا ما توصف روبوتات الدردشة بأنها ثورة في طريقة تفاعل المستخدمين مع التكنولوجيا والشركات. لديهم واجهة بسيطة إلى حد ما مقارنة بالتطبيقات التقليدية ، لأنها تتطلب فقط من المستخدمين الدردشة ، ومن المفترض أن تفهم روبوتات المحادثة وتفعل ما يطلبه المستخدم منهم ، على الأقل من الناحية النظرية. تقوم العديد من الصناعات بتحويل خدمة العملاء إلى أنظمة chatbot. هذا بسبب الانخفاض الكبير في التكلفة مقارنة بالبشر الفعليين ، وأيضًا بسبب المتانة والتوافر المستمر. تقدم روبوتات الدردشة درجة من دعم المستخدم دون تكلفة إضافية كبيرة.

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