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As a data engineer in an online recruiting tech company or a large organization’s HR department, you’ll build a series of practical tools to process and extract useful information from unstructured text data using NumPy. You’ll learn important methods (including trie data structure, TF-IDF, SVD), how to implement them, and their applications in the real world. When you’re finished, you’ll have the know-how to build data processing tools that meet the needs of machine learning engineers, data analysts, and product developers.
This liveProject is for Python beginners who are interested in building data processing tools using NumPy. To begin these liveProjects you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll learn commonly used methods for machine learning data preprocessing, various use cases for NumPy and sklearn, and how to build custom data processing tools.
geekle is based on a wordle clone.