Meet the Greedy Algorithms course that introduces you the Greedy paradigm, which can be used in a huge amount of problems. We’ll start with classic problems, then move to the Greedy Algorithms in arrays, and finish with the hardest part – Greedy Algorithms on graphs, such as Kruskal’s Minimum Spanning Tree and Dijkstra Shortest Path Algorithm. That would be great if you’re already familiar with Algorithms at all and such concepts as Dynamic Programming.

You'll be familiar with the basic DOM manipulation of HTML elements with JavaScript. A static web page can only be made dynamic by changing the state of the HTML elements via DOM with the help of JavaScript. So first, you'll learn the fundamentals of DOM manipulation of HTML elements, attributes, and styles. Then you'll discover the event handling, adding event listeners to HTML elements, and form processing. You'll also find the importance of HTML APIs before practicing what you have learned.

In this project, we are going to classify news and identify the fake ones.

Identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. Preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. Develop an effective tool that can accurately distinguish between real and fake news.

This project focuses on leveraging historical visitor data to identify high-potential international markets, uncover travel patterns, and segment audiences for targeted marketing strategies.

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.

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

Build a strong foundation in social media management with Hootsuite. Explore tools for scheduling content, monitoring engagement, analyzing performance, and optimizing strategy. Leverage built-in AI features, streamline team collaboration, and integrate third-party apps to enhance workflow and results.

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Discover how to build modern web applications using Angular, one of the most powerful frontend frameworks. You'll start with the core concepts, set up your development environment, and gradually move on to building dynamic, interactive components. Along the way, you'll work with directives, services, routing, and the latest approach with Standalone Components. With each step, you'll gain practical skills to confidently develop and organize Angular applications following industry best practices.

This course will help those who want to get some of Big Data basics, including different types of distributed computings and such programming paradigm as MapReduce. Also, main part of the course will be devoted to such framework as Apache Spark and it's high-level API PySpark using Python programming language.

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Explore the revolutionary world of blockchain technology and its first and most prominent application, Bitcoin. Delve into the intricacies of how blockchain functions, the technical underpinnings of Bitcoin, and the broader implications and future trends in this dynamic field. Gain a well-rounded understanding of the technology that is reshaping industries and challenging traditional notions of currency and data security.

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