Machine Learning and Data Science with LangChain and LLMs
التصنيف الكامل: Development > Data Science > LangChain

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Boost Your C++ Skills with 4 Challenging Practice Tests
Welcome to our comprehensive C++ Practice Tests course, designed to help you enhance your C++ programming skills through rigorous practice and logical reasoning. This course consists of four practice tests, each containing 15 carefully crafted questions, totaling to 60 questions. With a focus on standard logical reasoning and problem-solving, these tests will solidify your understanding of C++ concepts and refine your ability to write clean, efficient, and error-free code.Throughout the course, you will dive deep into the world of C++ and tackle a variety of programming challenges. From mastering the basics of C++ syntax to applying advanced data structures and algorithms, this course covers a wide range of topics to ensure a well-rounded learning experience. Each question is thoughtfully designed to test your knowledge and push you to think critically about problem-solving approaches using C++.By practicing with our C++ tests, you will not only strengthen your coding skills but also build confidence in your ability to handle complex programming tasks. Each question comes with detailed explanations and solutions, allowing you to understand the reasoning behind correct answers and learn from any mistakes you may make along the way.Whether you are a beginner looking to solidify your foundation in C++ or an experienced programmer aiming to sharpen your skills, this course is tailored to meet your needs. The practice tests are an excellent resource for preparing for coding interviews and assessments, helping you stand out from the competition.Embark on this C++ Practice Tests journey and take your programming skills to new heights. Join us today and unlock your full potential in the world of C++ programming.

New to Python Automation ? Step by Step Python 4 Tester-2026
Course Updates May 2024 : Updated Condition Handling and Looping videosNov 2021: Added Data Generation ProjectApr 2021 : Updated video qualityLooking to Automate your testing stuffs using Python ? Then you are on the right place.This course will help you to understand and Learn Python programming from Scratch to Expert Level. It is specially designed by keeping Software Testing in mind so almost all already/libraries of Python which are required in automation would be covered in his course.Python in not just use for web browser automation but also can use for followingRead | Search validate data in excelHave to pull text off of several web pages?Copy thousands of files from one location to anotherPerform repeatable tasks in single click Rename multiple files folders within a second.Python can help in automating tasks like -Setting up environments for testingAnalyzing data.Extracting performance dataAutomate APIAutomate Web ApplicationsGenerate test DataCourse Coverage Step by Step SetupWhy to Learn Python as Software TesterBasic ProgrammingModulesOOPS ConceptsOpenPyXlWorking with Notepad and CSVPytest FrameworkInterview QuestionPractical ImplementationPractice ExercisesRealtime ScenarioBest PracticesAfter this course, you will be eligible to implement your knowledge to make Testing Utilities using Python and also ready to automation diffe

مقدمة في علم الحاسوب والبرمجة - تعلم لغة جافا من الصفر
هذا الكورس معد للراغبين في تعلم البرمجة من الصفر. تم بناء الدروس بشكل محكم لكي يتسلسل في مستويات البرمجة، مع الاخذ بعين الاعتبار عدم اطلاع المتعلم المسبق على المواضيع المطروحة. هذا الكورس ملائم لجميع المستويات التالية:الراغبين في تعلم مواضيع علم الحاسوب في الجامعات - هذا الكورس يغطي معظم مواد علم الحاسوب في الفصول الآولىالراغبين في التخصص في مواضيع علم الحاسوب في المرحلة الثانويةالراغبين في الدخول الى عالم البرمجة من الصفر

Learn Machine Learning in 21 Days
Interested in the field of Machine Learning? Then this course is for you!This course has been designed by Code Warriors the ML Enthusiasts so that we can share our knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:You can do a lot in 21 Days. Actually, it’s the perfect number of days required to adopt a new habit!What you'll learn:-1.Machine Learning Overview2.Regression Algorithms on the real-time dataset3.Regression Miniproject4.Classification Algorithms on the real-time dataset5.Classification Miniproject6.Model Fine-Tuning7.Deployment of the ML model

Basics of Neural Networks: Your Ultimate Beginner's Guide
Welcome to the most beginner-friendly introduction to Neural Networks!My name is Rim Zakhama, your instructor for this course. I am an AI expert with a PhD in Applied Mathematics and Computer Science. I also hold a Master’s degree in Computer Science and an Engineering degree. My passion is to make complex AI concepts accessible and easy to understand for everyone.If you're looking to understand the basics of Neural Networks in a simplified and time-efficient way, you're in the right place. This course is tailored for absolute beginners, requiring no prior knowledge of machine learning or deep learning.With clear and concise explanations, this course breaks down key Neural Network concepts into digestible pieces. You’ll learn through simple explanations and relatable examples, making it easy to grasp the core ideas. While the course includes many examples to illustrate the concepts, it does not include exercises, allowing you to focus entirely on understanding the material.By the end of this journey, you’ll have a solid understanding of the fundamental concepts of neural networks and how they work. This knowledge will empower you to build systems that can learn and make decisions from data.We will cover foundational concepts such as:What neural networks are and how they mimic the human brain.Key components like activation functions, weights, biases, and loss functions.The process of forward propagation and how neural networks make predictions.Steps involved in training a neural network.While we will cover the steps involved in training a neural network, we will avoid delving into complex mathematics, such as gradient descent algorithm, to ensure the material remains accessible to all learners.

How To Be A Professional Speaker & Presenter
This course is the result of every single learning I've had over the last two decades of being a professional speaker. You can apply these learnings to setting up an online masterclass series, advising companies (online and offline) or charging to present information all over the world. I've been honoured to be on stage with the biggest names, written an award-winning Sunday Times bestselling book and advised many of the largest companies. Everything I've learned about the speaking industry and how to be a resonant and powerful speaker is now available in this 14 lecture, 7-hour course. I originally had these as standard and premium but now the entire set can be purchased together.
