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Complete Machine Learning & Data Science Bootcamp 2022Год выпуска: 11.2021
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/Автор: Andrei Neagoie, Daniel Bourke, Zero To Mastery
Продолжительность: 43 hours 42 min
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Complete Machine Learning & Data Science Bootcamp, a training course on behalf of the website Udemy is that science, data, analytics data, machine learning (artificial intelligence), and the Python language to help library Tensorflow and Pandas to you train. Tensorflow a library software open source for machine learning and pandas is also a library in Python language to do the analysis and edit the data. You in this course to fully with data science and machine learning are familiar and on the project applications, the numerous activity you get.
This course is a course project-based, and comprehensive, which is the newest skills required of a data scientist to teach you and you will learn how to build different projects, artificial intelligence meet. You in this course with visualization, storage and review of data are familiar, work with neural networks and deep learning to learn, how to analyze and evaluate the models can learn, with Python 3 and Tensorflow 2.0 and Numpy dating, find, and click on the project applications of artificial intelligence activity can below. Some of the projects the course includes a project, diagnose heart disease, predict the price of bulldozers, etc., sorting images, etc.
Cases in which the course is taught:Become a data scientist and hired
Complete familiarity with machine learning and functional use of it
Deep learning, learning, transition, and neural networks
The use of modern gadgets, Google and Apple
Presentation of the project science data management and shareholders
The use of models of machine learning to various issues
Using machine learning algorithms
The use of Python 3 and Tensorflow 2.0 and Numpy
Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, 3000kbps
Аудио: АAC, 2 ch, 128 Kbps
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