Predict Ad Clicks Using Logistic Regression and XG-Boost
In this project, we will predict Ads clicks using logistic regression and XG-boost algorithms. In this project, we will assume that you have been hired as a consultant to a start-up that is running a targeted marketing ad campaign on Facebook. The company wants to analyze customer behavior by predicting which customer clicks on the advertisement.
The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. This course is designed to keep you ahead of these changes.
You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.
After taking this course, you’ll know how to:
- Generate structured output, including function calls, using LLMs;
- Use LCEL, which simplifies the customization of chains and agents, to build applications;
- Apply function calling to tasks like tagging and data extraction;
- Understand tool selection and routing using LangChain tools and LLM function calling – and much more.
- Start applying these new capabilities to build and improve your applications today.
The evolution of digital technology has vastly impacted the way we communicate, live and work. Whether you’re a content creator, a content manager or a brand account manager, digital content management plays a crucial role in an advertising campaign’s success. Learn what it takes to successfully inventory, create, analyze, and manage content for companies of any scale, as well as the process of implementing these systems across organizations.
This practical course is designed for current career-professionals who want to learn how to build a real-world content strategy and a plan to execute it. You will leave this course with an understanding of how create, manage, review and govern digital content.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.
This course is primarily aimed at learners interested in knowing about and running a social business. An ideal learner could be a student, social entrepreneur, social intrapreneur, or a corporate professional interested in social business.
In the Module 1 of the course students will learn how different social business leaders - such as Professor Muhammad Yunus, Rajni Bakshi, Corinne Bazina, Lamiya Morshed, Suresh Krishna, and Daniel Nowack - are reimagining capitalism. The subsequent modules of this course crystallize varied learnings of practitioners and theorists at YSB to a set of tools and readings, which a learner may use as building blocks of a social business.
What makes this course unique is the blend of inspiration and rigor that is very important for any kind of social business education.
Learners may also use this course to advance in their careers, apply for higher education and jobs in the social impact/impact investing industry. The subscription to this course automatically allows a learner to become a part of the Global Social Business Community.
All the best!
Este curso apresenta uma visão geral completa do Google Cloud Security Command Center (SCC) Enterprise, uma plataforma de proteção de aplicativos nativos da nuvem (CNAPP, na sigla em inglês) que ajuda as organizações a evitar, detectar e responder a ameaças nos serviços do Google Cloud.
Você vai aprender sobre os principais recursos do SCC Enterprise, incluindo detecção aprimorada de ameaças, gerenciamento profundo de vulnerabilidades e gestão integrada de casos.
Também vai estudar os principais conceitos do gerenciamento de ameaças e da avaliação de vulnerabilidades, com demonstrações práticas de uso do SCC Enterprise para identificar, investigar e corrigir riscos de segurança no ambiente multicloud.
Al finalizar este curso serás capaz de diseñar y ejecutar campañas para productos, servicios o iniciativas relacionadas con algún tema ambiental, así como también de crear propuestas de valor para cualquier producto o servicio con criterios de sostenibilidad ambiental, es decir, generando el mayor valor para la marca y el menor impacto posible en el entorno.
El curso de Marketing Verde te ofrece la oportunidad de tener mayores elementos de competitividad en tu gestión profesional, ya que es un espacio en el que serás capaz de definir cómo el tema ambiental puede ser un valor agregado que puedes vincular al direccionamiento estratégico y creativo de las marcas. Si eres un profesional que se desempeña en el área de mercadeo o un estudiante que tiene inquietud por el tema y pronto iniciarás tu vida laboral en el campo, Marketing Verde te dará herramientas para desarrollar tus habilidades creativas, de planeación y ejecución llevando los conceptos del marketing verde a la práctica en el diseño de estrategias y actividades empresariales. Empodérate para desarrollar una gestión de mercadeo más responsable y con criterios de sostenibilidad.
Para tomar el curso de Marketing Verde debes contar con unos conocimientos básicos de mercadeo que garantizarán que puedas desarrollar y culminar este curso con éxito. Para saber si estás listo, te invito a tomar el examen de diagnóstico que plantea 10 preguntas muy sencillas de conceptos básicos de mercadeo; también, te ofrezco un material de apoyo sobre Fundamentos de Mercadeo que puedes consultar para repasar los conceptos básicos en caso de que lo necesites.
De lo general a lo particular, el curso de Marketing Verde abordará conceptos asociados a la realidad ambiental y su relación con la gestión empresarial, la planeación estratégica para productos y servicios verdes, el análisis del consumidor y su relación con el tema ambiental y las principales decisiones de mercadeo (segmentación, targeting, posicionamiento y marketing mix) vinculando el atributo ambiental.
The three-statement financial model forms the foundation on which almost all other types of models and analyses are built, and creating one is a crucial skill for many finance professionals. In this course, we will build a three-statement model from scratch and then review and audit it to make sure it’s working properly.
You will gain a step-by-step understanding of how the income statement, balance sheet, and cash flow statement are linked together within a dynamic financial model. The course will emphasize best practices in structuring models, building assumptions, and ensuring accuracy and consistency across all statements.
In addition, you will develop practical skills in forecasting financial performance, identifying key drivers of business results, and troubleshooting model errors. By the end of the course, you will be able to confidently build and audit a fully integrated three-statement model for real-world financial analysis.
Business Strategy: Business Model Canvas Analysis with Miro
By the end of this guided project, you will be fluent in identifying and creating Business Model Canvas solutions based on previous high-level analyses and research data. This will enable you to identify and map the elements required for new products and services. Furthermore, it is essential for generating positive results for your business venture. This guided project is designed to engage and harness your visionary and exploratory abilities. You will use proven models in strategy and product development with the Miro platform to explore and analyse your business propositions.
We will practice critically examining results from previous analysis and research results in deriving the values for each of the business model sections.
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam.
This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
This comprehensive course is designed to empower learners with the foundational and advanced skills required to style XHTML documents using CSS. Through progressive modules, learners will apply core styling principles, analyze layout techniques using the CSS box model, and create modular, responsive, and maintainable designs by leveraging class-based styling, contextual selectors, and stylesheet integration strategies.
Beginning with essential selectors and spanning through advanced techniques such as background manipulation, external style linking, and style inheritance, this course balances theory with hands-on practice. Learners will also explore how to evaluate cascading rules, synthesize structured layouts, and construct cross-browser-compatible web documents using conditional comments and real-world examples.
Structured to support step-by-step mastery, each lesson includes targeted objectives using Bloom’s Taxonomy verbs and integrates practice quizzes and graded assessments to reinforce learning outcomes.
On this course, you’ll examine the process, methodology and impact of global circular economy initiatives.
You’ll use systems thinking and mapping to understand the underlying dynamics and interaction of your problem-opportunity space and explore the likely impacts and effects of changing and/or influencing key elements of your systems. You’ll also identify key ‘leverage points’ of potential change across your systems map that you can address through future business interventions.
Via text-based resources and task books, you’ll gain comprehensive understanding and benefit from in-depth reference points as you formulate your ideas and plans.
