Working with Tabular Data and DataFrames

Resources for Chapter 4 of Data Science in .NET with Polyglot Notebooks

Working with Tabular Data and DataFrames

Chapter 4 of Data Science in .NET with Polyglot Notebooks shows what you can do with data once you have it loaded into a DataFrame. The chapter introduces the basics of data analysis and data wrangling and shows how data can be filtered, grouped, sorted, and exported. This chapter also puts a heavy emphasis on feature engineering and data cleaning as they are critical to further aspects of machine learning covered in part 2 of the book.

Data Science in .NET with Polyglot Notebooks
Data Science in .NET with Polyglot Notebooks

Learn data science using ML.NET, OpenAI, and Semantic Kernel

Data Science in .NET with Polyglot Notebooks teaches experienced .NET devs the fundamentals of data science, machine learning, and AI orchestration. It covers topics like ML.NET, OpenAI, Semantic Kernel, career development, and more.

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Additional Resources

These resources and notes are likely to be helpful while reading Chapter 4 of Data Science in .NET with Polyglot Notebooks.