Explore the fundamentals of Natural Language Processing (NLP) by learning essential text preprocessing techniques and methods for representing text data. Gain practical experience with the tools used to clean, analyze, and interpret textual information. Develop the skills needed to transform raw language into structured insights, laying a strong foundation for advanced applications in artificial intelligence and machine learning.

Unlock the power of regular expressions in Python with our comprehensive course designed for both beginners and experienced developers. This course will take you through the essential functions of the re module, including search, findall, finditer, and more, using practical examples and hands-on exercises. You'll learn how to extract and manipulate text data efficiently, enabling you to tackle complex string processing tasks with confidence. Whether you're looking to enhance your data analysis skills or streamline your coding workflow, this course provides the tools and knowledge to master regular expressions and elevate your programming capabilities.

Testing is an integral part of software development. Every module of an application should be covered by tests to ensure the correctness of a specific module or the entire application. This course will teach you about the different types of application testing. Additionally, you will practice with unit tests to test individual components of your application.

This is an introductory class for beginners who haven't used a CRM before but will need to use Salesforce as a core part of their job. Jobs include business analysts, marketers, PR, content writers, and all who can be required to work with salesforce in different capacities (one marketer might focus on qualifying leads, one might be interested in closing opportunities, one might be managing the email schedule). As it turns out, more and more of these jobs require knowledge of Salesforce (or other CRMs), and it's a barrier to getting hired.

Learn to extract valuable data from websites automatically. Master techniques to gather information efficiently, enabling you to perform in-depth analysis, make data-driven decisions, and unlock new insights from the vast ocean of online information.

This is a hands-on course that will help you understand the basics of object-oriented programming in Python. You will learn how to create classes, work with objects, use inheritance, and extend the capabilities of your programs.

Welcome to a beginner-friendly course that will help you learn the core concepts of conditional statements . Whether you're new to programming or looking to improve your understanding of conditional statements and how they influence the flow of your programs, this course is designed to meet your needs.

This course is designed for absolute beginners who want to master the basics of the TypeScript programming language. TypeScript is a modern and powerful language that extends the capabilities of JavaScript, making your code more reliable and readable. We will start from the very basics, covering variables, data types, comparison operators, and conditional statements. Then, we will delve into working with arrays and loops. Upon completing this course, you will be ready to create simple programs in TypeScript and continue your learning journey into more advanced topics.

Master essential JavaScript concepts, including classes, DOM manipulation, event handling, and asynchronous programming. Learn to create dynamic and interactive web applications by managing user interactions, fetching and displaying data, and handling asynchronous operations efficiently. Through a blend of theory, hands-on challenges, and real-world examples, this course equips you with the practical skills needed for modern web development.

Networking Fundamentals is a comprehensive course designed for beginners and intermediate learners aiming to build practical skills in networking. Covering everything from foundational concepts to advanced applications, the course takes you through key topics including network types, IP addressing, protocols, and network security. By the end of this course, you'll be equipped with essential skills to troubleshoot, secure, and manage networks effectively, setting a solid foundation for further specialization in networking.

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

Templates are a powerful feature that allows the creation of generic functions and classes. This course is designed to provide a comprehensive understanding of C++ templates, from basic syntax to advanced techniques. Participants will learn how to use templates to write efficient, reusable code and create generic algorithms and data structures.

Learn how to write faster and more memory-efficient code by mastering performance measurement, selecting the right data structures, and leveraging built-in tools. We'll focus on practical optimization techniques for handling large datasets, efficient string operations, and partial sorting, ensuring your code is both robust and scalable.

This course covers key aspects of backend development on Spring Boot, including the basics of HTTP and Spring, designing and implementing RESTful APIs, working with relational databases, and testing applications. By the end of this course, users will have a solid understanding of backend development using Spring Boot, enabling them to design and implement robust RESTful APIs and manage data effectively with relational databases. They will also gain practical experience in testing applications, ensuring high-quality code and functionality.

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.