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Peixeiro M Time Series Forecasting in Python 2022 Fix

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pdf | 22.51 MB | English | Isbn:‎ 979-8841495048 | Author: Marco Peixeiro | Year: 2022


Description:

✪ LAST UPDATE: MAY 2022 - CODE IMPROVEMENT AND MORE EXERCISES
Would you like to be able to enhance your Python skills and have a thorough understanding of Neural Networks , Artificial Intelligence , and Data Science , even if you don't know much ( or nothing at all ) about it?

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Here is a tiny fraction of what you will learn:

[*] Practical codes and exercises to use Python that you can easily use to practice your skills and that you can test and tweak to your heart's content
[*] What Machine Learning is, and what are its concepts & terms, so that you can have full knowledge on the subject and be sure to easily understand and learn every argument and skill related to this topic
[*] How to work with Python for Data Science, to be effectively able to use this user-friendly language and its easy-to-understand syntax for Data Science in a very effortless and quick way that even a beginner would understand
[*] What are the best, essential libraries for Machine Learning in Python, so you can have access to the best and most-useful functions without the need of writing specific codes from scratch
[*] What is the Tensorflow library and how it works, so to understand everything regarding this library created by Google and effectively create and train Deep Learning models using Python
[*] The topnotch Data Mining techniques in Data Science, to always get the most out of your data gathering process, thanks to a complete section that will show you what are the best ways to maximize the value of data investments

And much more!

These beginner-friendly books were written specifically to make you able to master Python, Machine Learning and Data Science from scratch , and they can inevitably put you in front of new , highly paid career options, so.

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Category:Microsoft C & C++ Windows Programming, Object-Oriented Software Design, Object-Oriented Design



Code:
https://1dl.net/uoy18zoulc7t
 

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