Big Data and NLP with Python: 2-in-1

Online Course

Udemy
Big Data and NLP with Python: 2-in-1

What is the course about?

Big Data and NLP with Python: 2-in-1
The course Big Data and NLP with Python: 2-in-1 is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Gain valuable insights from your data by streamlining unstructured data pipelines with Big Data and NLP in Python

Course description
  • Big Data and NLP with Python: 2-in-1
  • Learn how to efficiently ingest, query, and analyze data using MongoDB and Spark
  • Learn practical NLP techniques and methods to analyze your text data
  • Write MongoDB queries using operators and chain these together into aggregation pipelines
  • Get to grips with powerful new libraries such as Gensim, Spacy, and Keras
  • Perform different techniques to categorize text data
  • Basic knowledge of Python and familiarity with machine learning and data analysis, is all you need to get started with this course.
  • 4.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Big Data and NLP with Python: 2-in-1

Course Topic

Big Data, Data Science, Development

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Big Data and NLP with Python: 2-in-1

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Big Data and NLP with Python: 2-in-1
provided by Udemy

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School: Udemy
Topic: Big Data, Data Science, Development