Online course - 250+ Exercises - Data Science Bootcamp in Python by Udemy

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COURSE DESCRIPTION

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The course consists of 250 exercises (exercises + solutions) in data science with Python.

Packages that you will use in the exercises:

numpy
pandas
seaborn
plotly
scikit-learn
opencv
tensorflow

Some topics you will find in the exercises:

working with numpy arrays
working with matrices
random numbers
normal distribution
image as a numpy array
working with polynomials
working with dates
dealing with missing values
working with pandas Series and DataFrames
reading/writing files
working with stock market data
creating visualizations using seaborn and plotly
preparing data to the machine learning models
feature extraction
splitting data into train and test sets
solving systems of equations
building regression and classification models
working with neural networks - TensorFlow and Keras
working with computer vision - OpenCV

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 topics were covered in this course.

Don't hesitate and take the challenge today!

250+ Exercises - Data Science Bootcamp in Python

Course overview

Description

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