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Python Data Analysis. An end-to-end guide covering data processing, data manipulation and data visualization - Fourth Edition Avinash Navlani, Cornellius Yudha Wijaya

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Python Data Analysis. An end-to-end guide covering data processing, data manipulation and data visualization - Fourth Edition Avinash Navlani, Cornellius Yudha Wijaya - okladka książki

Python Data Analysis. An end-to-end guide covering data processing, data manipulation and data visualization - Fourth Edition Avinash Navlani, Cornellius Yudha Wijaya - okladka książki

Python Data Analysis. An end-to-end guide covering data processing, data manipulation and data visualization - Fourth Edition Avinash Navlani, Cornellius Yudha Wijaya - audiobook MP3

Python Data Analysis. An end-to-end guide covering data processing, data manipulation and data visualization - Fourth Edition Avinash Navlani, Cornellius Yudha Wijaya - audiobook CD

Autorzy:
Avinash Navlani, Cornellius Yudha Wijaya
Ocena:
Data analysis enables you to generate value from small and big data by discovering new patterns, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you'll get up and running using Python for data analysis by exploring the different phases used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines.
Starting with the essential statistical and data analysis fundamentals using Python, you'll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You'll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you'll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. You'll also work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask.
By the end of this data analysis book, you'll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data.

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O autorach książki

Avinash Navlani był wykładowcą akademickim, obecnie wdraża narzędzia do analizy danych wielkoskalowych i tworzenia modeli. Angażuje się w projekty badawcze.

Cornellius is a leader in data science and an entrepreneur with over six years of experience delivering AI solutions. As a startup's co-founder and data lead focused on an AI-powered data platform, he drives scalable AI strategies, transforming raw data into actionable insights. Previously, he was a Senior Data Scientist and Assistant Manager in the finance industry, leading end-to-end projects—from problem framing to model deployment—to address business challenges and deliver value through predictive analytics. In addition to his startup, Cornellius provides consulting services for early-stage companies, assisting them in creating customized machine-learning systems. He is a prolific technical writer who shares his knowledge through articles, LinkedIn posts, and a well-regarded newsletter on data trends.

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