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Coursera – Data Mining Specialization 2021-4

Coursera – Data Mining Specialization 2021-4

Published on: 2021-05-01 05:49:40

Categories: 28

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Description

Data Mining Specialization is a training course on text analysis, pattern discovery and data illustration, with the help of this course you will be able to solve real-world data mining challenges. In this specialty, you will learn data extraction techniques for both structured and unstructured data (which are in the form of natural language texts). The specialized topics of the course include pattern discovery, categorization, text retrieval, text extraction and analysis, and data visualization.

Skills you will learn in the Data Mining Specialization course set:

Course details:

Publisher: Coursera
Instructor: John C. Hart , ChengXiang Zhai and Jiawei Han
Language: English
Education Level: Average
Number of Courses: 6
Duration: Assuming 4 Hours a Week, 8 Months

Courses in the Data Mining Specialization series:

COURSE 1
Data Visualization

COURSE 2
Text Retrieval and Search Engines

COURSE 3
Text Mining and Analytics

COURSE 4
Pattern Discovery in Data Mining

COURSE 5
Cluster Analysis in Data Mining

COURSE 6
Data Mining Project

Prerequisites course:

Comfortable with computer programming in multiple programming languages

Basic knowledge of probability and statistics

Pictures

Data Mining Specialization

Sample film

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English and other languages

Quality: 720

This collection includes 6 different courses.

download link

Data Visualization 2021-4

Download course – 743 MB

Text Retrieval and Search Engines 2021-4

Download course – 993 MB

Text Mining and Analytics 2021-4

Download Part 1 – 1 GB

Download Part 2 – 75 MB

Pattern Discovery in Data Mining 2021-4

Download course – 453 MB

Cluster Analysis in Data Mining 2021-4

Download course – 471 MB

Data Mining Project 2021-4

Download course – 17 MB

File password (s): www.abc.com

Size

743 MB + 993 MB + 1.1 GB + 453 MB + 471 MB + 17 MB

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