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Master the basic methods for handling most real-world scenarios as you play the role of a data scientist in an online recruiting tech company or a large organization’s HR department. Using pandas, you’ll process, extract, and transform numerical, categorical, time series, and text data into structured features that are ready for data analysis and ML model training. When you’re done, you’ll have hands-on experience working with most data types you’ll find in the real world, as well as useful skills for extracting and engineering features.
This liveProject is for Python beginners interested in learning feature extraction and engineering using pandas. To begin these liveProjects you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll learn commonly used methods for feature engineering in machine learning, as well as how to clean, transform, normalize and encode different types of data.
geekle is based on a wordle clone.