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Python for Data Science: The Ultimate Beginners' Guide to Data Science, Predictive Analytics, Statistics, and Machine Learning
Чтиво | Автор: LeeAndro | Добавлено: 16-09-2020, 01:47 | Просмотров (4) | Комментариев (0) | Жалоба |
Python for Data Science: The Ultimate Beginners' Guide to Data Science, Predictive Analytics, Statistics, and Machine Learning
English | 2019 | ISBN-13 : 978-1672145831 | 133 Pages | PDF, EPUB, AZW3 | 7.86 MB

What would it feel like if you could know your business decisions were accurate, and that they would always be successful?


If you want to make your business more effective using all the data you have then read more.

Data science helps businesses in predicting which products put on the market, which niche will bring the most customers, and much more.

Studying data science is one of the best decisions that you can make for improving your business. You will learn all of the steps, and the best tools in order to turn your data science project into a success.

You will learn:

What data science is all about and why so many companies are using it to give them a competitive edge.

Why Python language is a great option to handle your data science project.

The steps that come with a data science project.

Where machine learning can fit into the world of data science.

What predictive analytics is all about and why this works with data science as well.

Best libraries for data science, including Matplotlib, Seaborn, and the NumPy arrays.

Using data visuals to take all of that information that we have gathered up already and use it to help us really understand the insights data science gives us.

Some of the real-life applications of data science and why you need to consider using this for your needs as well.

Even if you never used data science, learning it is easier than it looks, you just need the right guidance. This practical guide can bring your business to the front of competition.

Scroll up and select the buy now button if you want to improve your business based on a solid analysis.



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