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Python for AI and Data Analysis. Turn data into insights, apply AI, and automate work in business and science Rheinwerk Publishing, Inc, Johannes Schildgen

Książka w języku angielskim angielski
Python for AI and Data Analysis. Turn data into insights, apply AI, and automate work in business and science Rheinwerk Publishing, Inc, Johannes Schildgen - okladka książki

Python for AI and Data Analysis. Turn data into insights, apply AI, and automate work in business and science Rheinwerk Publishing, Inc, Johannes Schildgen - okladka książki

Python for AI and Data Analysis. Turn data into insights, apply AI, and automate work in business and science Rheinwerk Publishing, Inc, Johannes Schildgen - audiobook MP3

Python for AI and Data Analysis. Turn data into insights, apply AI, and automate work in business and science Rheinwerk Publishing, Inc, Johannes Schildgen - audiobook CD

Autorzy:
Rheinwerk Publishing, Inc, Johannes Schildgen
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Bądź pierwszym, który oceni tę książkę
Stron:
285
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Everyday data work is a practical starting point for Python, even if programming is not your profession. The opening material introduces the language, file handling, Visual Studio Code, and Jupyter Notebooks. You then use NumPy and pandas to load, clean, filter, and transform data from formats such as CSV, Excel, and JSON, turning raw inputs into material ready for analysis.
Visualization brings those results into focus through charts and interactive plots with Matplotlib. From there, the discussion moves to machine learning methods, including linear regression, decision trees, and clustering, before introducing deep learning and AI applications. Text analysis, sentiment analysis, and image classification show how these techniques support different kinds of data projects.
Later sections extend Python into APIs, web tools, databases, and routine automation. Flask and Streamlit support lightweight applications, while practical tasks include web scraping, PDF processing, document generation, scheduled data retrieval, and email notifications. By the end of this book, you will be able to connect data preparation, visualization, AI methods, and automation in work relevant to business and science.

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