Text Analytics and Predictions with Python Essential Training

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Kumaran Ponnambalam

35:32

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01 The need for text mining skills in data science.mp4

01:06

02 Introduction to text analytics.mp4

01:23

03 Course prerequisites.mp4

00:59

04 Using Jupyter Notebook.mp4

02:11

05 Word Cloud concepts.mp4

01:02

06 Preparing data for a word cloud.mp4

01:24

07 Displaying the word cloud.mp4

01:04

08 Enhancing the word cloud.mp4

01:00

09 Purpose.mp4

01:55

10 Preparing data for sentiment analysis.mp4

01:01

11 Finding sentiments.mp4

01:29

12 Summarization and display.mp4

01:29

13 Purpose.mp4

01:45

14 Preparing data for clustering.mp4

01:50

15 k-means clustering.mp4

01:15

16 k-means optimization.mp4

01:09

17 Purpose.mp4

01:43

18 Preparing data for classification.mp4

02:33

19 Naive Bayes classification.mp4

01:18

20 Predictions for text.mp4

01:15

21 Predictive text concepts.mp4

01:39

22 Preparing data for predictive text.mp4

01:10

23 Building n-grams database.mp4

01:44

24 Recommending next word.mp4

01:32

25 Next steps.mp4

00:36

Ex_Files_Text_Analytics_Predictions_Python_EssT.zip

Description

Text is a rich source of insights for businesses. Websites, social media, emails, and chats all contain valuable customer data. But to reap the rewards, you need to be able to analyze large amounts of unstructured text. Text mining is an essential skill for anyone working in big data and data science. This course teaches text-mining techniques to extract, cleanse, and process text using Python and the scikit-learn and nltk libraries. Kumaran Ponnambalam explains how to perform text analytics using popular techniques like word cloud and sentiment analysis. He then shows how to make predictions with text data using clustering, classification, and recommendations—otherwise known as predictive text. Along the way, he introduces important text analytics concepts such as lemmatization and n-grams.

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Python

Data Analysis

Kumaran Ponnambalam

Instructor's Courses

A seasoned veteran in everything data, with a reputation for delivering high performance database and SaaS applications and currently specializing in leading Big Data Science and Engineering efforts

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