Complete 2020 Data Science & Machine Learning Bootcamp [08-2020, ENG] torrent

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Complete 2020 Data Science & Machine Learning Bootcamp
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Обновление от: 08-2020
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/python-data-science-machine-learning-bootcamp/
Автор: Philipp Muellauer, Dr. Angela Yu
Продолжительность: 41h 16m
Тип раздаваемого материала: Видеоурок
Язык: Английский
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Описание: Learn Python, Tensorflow, Deep Learning, Regression, Classification, Neural Networks, Artificial Intelligence & more!
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Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science.

At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why:

The course is a taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp.

In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix.

This course doesn't cut any corners, there are beautiful animated explanation videos and real-world projects to build.

The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback.

To date, we’ve taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup.

You'll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp.
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├───01 Introduction to the Course
├───02 Predict Movie Box Office Revenue with Linear Regression
├───03 Python Programming for Data Science and Machine Learning
├───04 Introduction to Optimisation and the Gradient Descent Algorithm
├───05 Predict House Prices with Multivariable Linear Regression
├───06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1
├───07 Train a Naive Bayes Classifier to Create a Spam Filter_ Part 2
├───08 Test and Evaluate a Naive Bayes Classifier_ Part 3
├───09 Introduction to Neural Networks and How to Use Pre-Trained Models
├───10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow
├───11 Use Tensorflow to Classify Handwritten Digits
├───12 Serving a Tensorflow Model through a Website
└───13 Next Steps
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Формат видео: MP4
Видео: H.264, 1920x1080, 16:9, 30 к/с, 903 кб/с
Аудио: MPEG-4 AAC, 44.1 кгц, 62.8 кб/с, 2.0
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