250+ Exercises – Data Science Bootcamp in Python – 2022

Welcome to the 250+ Exercises – Data Science Bootcamp in Python course where you can test your Python programming and data science skills. The course consists of 250 exercises (exercises + solutions) in data science with Python. Python can be easy to pick up whether you’re a first time programmer or you’re experienced with other languages. Python is a programming language that lets you work quickly and integrate systems more effectively.

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.