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    Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python Maria Zervou - okładka ebooka

    Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python Maria Zervou - okładka ebooka

    Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python Maria Zervou - okładka audiobooka MP3

    Python Data Cleaning and Preparation Best Practices. A practical guide to organizing and handling data from various sources and formats using Python Maria Zervou - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    306
    Data professionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, missing valuable insights that are difficult or impossible to obtain from structured data alone.
    To tackle these challenges, you will go on a journey through the upstream data pipeline, which includes the ingestion of data from various sources, validation and profiling of the data for high-quality end tables, and writing the data to different sinks. Subsequently, you will acquire knowledge on handling structured data by performing essential tasks such as cleaning and encoding datasets and handling missing values and outliers. The journey concludes by demystifying the manipulation of unstructured data with simple techniques that unlock their potential. You will be introduced to a variety of natural language processing techniques, from tokenization to vector models, as well as techniques for structuring images, videos, and audio.
    By the end of the book, you will have achieved proficiency in data cleaning and preparation techniques for both structured and unstructured data.

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    O autorze ebooka

    Maria is a Greek expat experiencing London life! With a Master's degree in Data Science and a lot of curiosity about how data can unlock new ways of solving problems, her journey into the data world started. Maria has worked as a Data Scientist and an ML engineer for the past 4 years. Today, she is working as Senior Specialist Solutions Architect at Databricks where she helps businesses leverage data and AI to solve their data challenges at scale. Her passion for new technologies and cloud infrastructure, as well as automation and simplicity, comes as no surprise. Maria is also a public speaker advocating how to build Machine learning products at scale and how we can make the data space more inclusive and diverse.

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