250+ Exercises – Data Science Bootcamp in Python

Description

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RECOMMENDED LEARNING PATH

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PYTHON DEVELOPER:

• 200+ Exercises – Programming in Python – from A to Z

• 210+ Exercises – Python Normal Libraries – from A to Z

• 150+ Exercises – Object Oriented Programming in Python – OOP

• 150+ Exercises – Data Buildings in Python – Fingers-On

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• 100+ Exercises – Superior Python Programming

• 100+ Exercises – Unit checks in Python – unittest framework

• 100+ Exercises – Python Programming – Data Science – NumPy

• 100+ Exercises – Python Programming – Data Science – Pandas

• 100+ Exercises – Python – Data Science – scikit-study

• 250+ Exercises – Data Science Bootcamp in Python

SQL DEVELOPER:

• SQL Bootcamp – Fingers-On Exercises – SQLite – Half I

• SQL Bootcamp – Fingers-On Exercises – SQLite – Half II

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COURSE DESCRIPTION

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The course consists of 250 workouts (workouts + options) in knowledge science with Python.

Packages that you’ll use in the workouts:

• numpy

• pandas

• seaborn

• plotly

• scikit-study

• opencv

• tensorflow

Some matters you can find in the workouts:

• working with numpy arrays

• working with matrices

• random numbers

• regular distribution

• picture as a numpy array

• working with polynomials

• working with dates

• coping with lacking values

• working with pandas Sequence and DataFrames

• studying/writing information

• working with inventory market knowledge

• creating visualizations utilizing seaborn and plotly

• getting ready knowledge to the machine studying fashions

• characteristic extraction

• splitting knowledge into prepare and check units

• fixing methods of equations

• constructing regression and classification fashions

• working with neural networks – TensorFlow and Keras

• working with pc imaginative and prescient – OpenCV

It is a nice check for people who find themselves studying the Python language and are in search of new challenges. The course is designed for individuals who have already got fundamental information in Python and information about knowledge science libraries. Exercises are additionally an excellent check earlier than the interview. Many well-liked matters have been coated in this course.

Do not hesitate and take the problem right now!

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