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Practical Python for AI Coding 1

Introduction video This course is designed for complete novices in Python coding, requiring no prior knowledge or experience in software programming. It introduces and explains Python syntaxes, functions, and libraries that are frequently utilized in AI coding. In addition, this course delves into essential syntaxes and functions often employed.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

PowerBI Report Development Crash Course

PowerBI Report Development Crash Course Hello, In this project, you will learn in detail the steps required to create a PowerBI report using PowerBI Desktop, and how to publish this report on PowerBI service within the respective workspace. This project is designed for beginners who have no prior experience with PowerBI, allowing them to quickl.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Java Programming: Build a Recommendation System

Java Programming: Build a Recommendation System Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon suggests books? Get hands-on experience by building a simplified recommender system of your own! In this capstone project, you will demonstrate your problem-solving abilities and Java programming skills by developing.
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Python Project: pillow, tesseract, and opencv

Python Project: pillow, tesseract, and opencv This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize te.
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Fundamentals of Quantitative Modeling

Fundamentals of Quantitative Modeling How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fu.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

Decision-Making and Scenarios

Decision-Making and Scenarios This course is designed to show you how to use quantitative models to transform data into better business decisions. You’ll learn to utilize models to facilitate decision-making and structure decision-making for optimal results. Two of Wharton’s most acclaimed professors will guide you through step-by-step processe.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand

Design and Build a Data Warehouse for Business Intelligence Implementation

Design and Build a Data Warehouse for Business Intelligence Implementation Course Title: Design and Build a Data Warehouse for Business Intelligence Implementation Description: The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across al.
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Business Intelligence Concepts, Tools, and Applications

Business Intelligence Concepts, Tools, and Applications This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of t.
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provider Coursera
pricing Free Online Course (Audit)
duration 28 hours
sessions On-Demand

Diabetic Retinopathy Detection with Artificial Intelligence

Diabetic Retinopathy Detection with Artificial Intelligence In this project, we will train a deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the deve.
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Curso Completo de Deep Learning

Este proyecto es un curso práctico y efectivo para aprender Deep Learning con ejercicios aplicados. Aprenderás desde cero los fundamentos del Deep Learning. Después irás aprendiendo a desarrollar redes neuronales con Python y Keras a través de ejercicios prácticos. Gracias a este curso aprenderás a programar tus propios modelos de Deep Learni.
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