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Python Data Analysis

You're reading from   Python Data Analysis Perform data collection, data processing, wrangling, visualization, and model building using Python

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Length 478 pages
Edition 3rd Edition
Languages
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Authors (2):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
Avinash Navlani Avinash Navlani
Author Profile Icon Avinash Navlani
Avinash Navlani
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries FREE CHAPTER 3. NumPy and pandas 4. Statistics 5. Linear Algebra 6. Section 2: Exploratory Data Analysis and Data Cleaning
7. Data Visualization 8. Retrieving, Processing, and Storing Data 9. Cleaning Messy Data 10. Signal Processing and Time Series 11. Section 3: Deep Dive into Machine Learning
12. Supervised Learning - Regression Analysis 13. Supervised Learning - Classification Techniques 14. Unsupervised Learning - PCA and Clustering 15. Section 4: NLP, Image Analytics, and Parallel Computing
16. Analyzing Textual Data 17. Analyzing Image Data 18. Parallel Computing Using Dask 19. Other Books You May Enjoy

Installing NLTK and SpaCy

NLTK is one of the popular and essential Python packages for natural language processing. It offers all the basic, as well as advanced, NLP operations. It comprises common algorithms such as tokenization, stemming, lemmatization, part-of-speech, and named entity recognition. The main features of the NLTK library are that it's open-source, easy to learn, easy to use, has a prominent community, and has well-organized documentation. The NLTK library can be installed using the pip install command running on the command line as follows:

pip install nltk

NLTK is not a pre-installed library in Anaconda. We can directly install nltk in the Jupyter Notebook. We can use an exclamation point (!) before the command in the cell:

!pip install nltk

SpaCy is another essential and powerful Python package for NLP. It offers a common NLP algorithm as well as advanced functionalities. It is designed for production purposes and develops applications for a large volume of data...

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