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Can I read Exploratory Data Analysis with Python Cookbook : Over 50 Recipes to Analyze, Visualize, and Extract Insights From Structured and Unstructured Data on EtoBox?
Exploratory Data Analysis with Python Cookbook : Over 50 Recipes to Analyze, Visualize, and Extract Insights From Structured and Unstructured Data by Oluleye, Ayodele is a nonfiction available to read on EtoBox.
What is Exploratory Data Analysis with Python Cookbook : Over 50 Recipes to Analyze, Visualize, and Extract Insights From Structured and Unstructured Data about?
Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBook Key Features: Gain practical experience in conducting EDA on a single variable of interest in Python Learn the different techniques for analyzing and exploring tabular, time series, and textual data in Python Get well versed in data visualization using leading Python libraries like Matplotlib and seaborn Book Description: Exploratory data analysis (EDA) is a crucial step in data analysis and machine learning projects as it helps in uncovering relationships and patterns and provides insights into structured and unstructured datasets. With various techniques and libraries available for performing EDA, choosing the right approach can sometimes be challenging. This hands-on guide provides you with practical steps and ready-to-use code for conducting exploratory analysis on tabular, time series, and textual data. The book begins by focusing on preliminary recipes such as summary statistics, data preparation, and data visualization libraries. As you advance, you'll discover how to implement univariate,
Who reads Exploratory Data Analysis with Python Cookbook : Over 50 Recipes to Analyze, Visualize, and Extract Insights From Structured and Unstructured Data?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Oluleye, Ayodele
- Publisher
- Packt Publishing, Limited
- Published
- 2023
- Language
- EN
- ISBN
- 9781803246130
- Category
- nonfiction
- Subjects
- Science, Computer Science, Mathematics
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