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Python pandas tutorial | road to machine learning part 3
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About Python pandas tutorial | road to machine learning part 3
Introduction
Reading and attributes
Selecting
Indexing
Multi index columns
Updating
Joining
Describe
Iterating
Group by
Strings, datetimes, sort
Ploting
Writing dataframe
Project
What You Will Learn?
- In this tutorial I teach pandas essentials. Pandas is a python library dedicated for data analysis. Is one of the most important tools of the modern machine learning developers. In the tutorial we cover all the functionality needed to head-start the data-analysis in pandas. .
- For the whole course we prepared detailed examples documented and executed in the jupyter lab notebooks. You can find source code on the course github. We highly recommend first to try to code the examples along the lecture. Use the source code as a last resource to overcome the errors. This way you will learn much more with the course :). .
- During the lessons we present example code run on the kaggle dataset which you can find on this link. To download the dataset from the kaggle you need to be registered. Registration is free. Kaggle is an ideal place for datasets dedicated for learning the machine learning :)..
- The agenda of the course is following: .