250+ Exercises - Data Science Bootcamp in Python
- 4.3
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Brief Introduction
Improve your Python programming skills and solve over 250 data science exercises!Description
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RECOMMENDED LEARNING PATH
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200+ Exercises - Programming in Python - from A to Z
210+ Exercises - Python Standard Libraries - from A to Z
150+ Exercises - Object Oriented Programming in Python - OOP
100+ Exercises - Unit tests in Python - unittest framework
100+ Exercises - Python Programming - Data Science - NumPy
100+ Exercises - Python Programming - Data Science - Pandas
100+ Exercises - Python - Data Science - scikit-learn
250+ Exercises - Data Science Bootcamp in Python
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COURSE DESCRIPTION
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The course consists of 250 exercises (exercises + solutions) in Python with data science. The emphasis is on knowledge of data science libraries such as:
numpy
pandas
seaborn
plotly
scikit-learn
opencv
tensorflow
This is a great test for people who are learning the Python language and are looking for new challenges. The course is designed for people who already have basic knowledge in Python and knowledge about data science libraries. Exercises are also a good test before the interview. Many popular questions have been discussed in the course.
Don't hesitate and take the challenge today!
Requirements
- Requirements
- completed course '200+ Exercises - Programming in Python - from A to Z'
- completed course '210+ Exercises - Python Standard Libraries - from A to Z'
- completed course '100+ Exercises - Python Programming - Data Science - NumPy'
- completed course '100+ Exercises - Python Programming - Data Science - Pandas'
- completed course '100+ Exercises - Python - Data Science - scikit-learn'
Paweł Krakowiak
4.3 Raiting
100+ Exercises - Python - Data Science - scikit-learn
- 4.9
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Improve your machine learning skills and solve over 100 exercises in python, numpy, pandas and scikit-learn! ------------------------------------------------------------------------------ RECOMMENDED LEARNING PATH ------------------------------------------------------------------------------...
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- 4.6
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- 4.7
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