Exploratory Data Analysis in Python for Machine Learning // Demo Lesson for the "Machine Learning...
This lesson will cover how to conduct exploratory data analysis (primary data analysis) using the Pandas framework. We'll cover the basic aspects of data analysis, learn how to process features, and fill in missing values.
Who is this lesson suitable for:
IT professionals looking to move into data science
Beginning data scientists and machine learning specialists looking to delve deeper into the profession
Those self-studying data science
Those looking to enter the IT field but unsure what to choose
Key topics of this open lesson:
Basic principles of exploratory data analysis
What tools are available for this in Python?
How to visualize data?
What data preprocessing is needed to build ML models?
Machine Learning - https://otus.pw/fiWv/
Instructor: Maria Tikhonova, Senior Data Scientist at SberDevices, HSE Lecturer
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