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Want to get better at Python? Then start programming right now by doing the exercises.
You already know from the video that Jupyter Notebook is a convenient development environment that opens in a browser. To get one and continue working further, you need to install Anaconda. To do this, download the current version and follow the instructions from the video below.
Also, before completing the tasks, download the dataset that we will work with and save it in the folder where the notebooks for the tasks will be located.
It's time to get to know the pandas library, which was discussed in the video, better.
Pandas is a Python library that provides powerful data analysis capabilities. The data data scientists work with is often stored in tabular form, such as .csv, .tsv, or .xlsx formats. With the help of the Pandas library, such tabular data is very convenient to load, process and analyze.
Download the Notebook, study the materials in it and answer the questions below.
This part is about data visualization in Python. We'll look at the basic methods of the matplotlib library, build graphs based on competition data, and add even more beauty from seaborn.
Download the Notebook, study the materials in it and answer the questions below.
The answer has been rounded to the nearest whole number.
In the third lesson, we will finally move on to machine learning: we will prepare the features and train the first model.
Download the Notebook, study the materials in it and answer the questions below.
Write your answer as a percentage, as a whole number and without the percent sign.
Write your answer as a percentage, as a whole number and without the percent sign.
