Python for Data Science Complete Video Course Video

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Description Python for Data Science Complete Video Course Video

Data science is a study of the extraction of knowledge and knowledge of a set of data and information. The purpose of this science is to extract the concept of data and produce data-driven products. Data scientists are called data scientists. One of the broad and widely used branches of artificial intelligence is machine learning, which arranges and explores the ways and algorithms on which computers and systems can learn and learn.
One of the most enjoyable and one of the 10 best and most popular jobs in the world of science. The average job in the world was about $ 120,000. The theme is not just money, and its unique charm is amazing for many. If you are a developer or have script experience, this tutorialIt teaches you to use the science of data in order to maximize your productivity in industry or anywhere.
Livelessons Python for Data Science Complete Video Course Video Training Learn how to learn Python for science.

Heading periodic training of Livelessons Python for Data Science Complete Video Course Video Training:
– Introduction
– Lesson 1: Python Past and Future
– Lesson 2: Introducing Colab
– Lesson 3: Foundations of Python
– Lesson 4: strings in Python
– Lesson 5: the structure of Python
– Lesson 6: instructions converting
– Lesson 7: execution
– Lesson 8: functions in Python
– Lesson 9: E house Science
– Lesson 10: planning applications
– Lesson 11: lazy evaluation
– Lesson 12: Pattern Matching
– Lesson 13: Sorting in Python
– Lesson 14: I / O in Python
– Lesson 15: Sharing Your Work
– Lesson 16: Case Studies
– Summary

Specifications

Producer: Livelessons

English Name: Livelessons Python for Data Science Complete Video Course Video Training

Teacher: Kennedy Behrman, Noah Gift

Level: Elementary, Secondary, Advanced

Training Time: 6 hours + 38 minutes

File Size: 11600 MB

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Python for Data Science Complete Video Course Video

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About the Author: Ho Quang Dai

I am Ho Quang Dai. Looking forward to receiving positive contributions from readers

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