Learning Data Mining With Python

Learning Data Mining with Python  eBooks & eLearning

Posted by AlenMiler at Aug. 14, 2015
Learning Data Mining with Python

Learning Data Mining with Python by Robert Layton
English | 30 July 2015 | ISBN: 1784396052 | 344 Pages | EPUB/MOBI/PDF (True) | 26.75 MB
With: Code Files

The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis.

Data Mining with Python: Implementing Classification and Regression  eBooks & eLearning

Posted by FenixN at Nov. 23, 2016
Data Mining with Python: Implementing Classification and Regression

Data Mining with Python: Implementing Classification and Regression
HDRips | MP4/AVC, ~58 kb/s | 1280x720 | Duration: 02:03:25 | English: AAC, 128 kb/s (2 ch) | 297 MB
Genre: Development / Programming

A practical guide that will give you hands-on experience with the popular Python data mining algorithms.

Learning Data Mining with R  eBooks & eLearning

Posted by FenixN at Nov. 6, 2016
Learning Data Mining with R

Learning Data Mining with R
HDRips | MP4/AVC, ~84 kb/s | 1280x720 | Duration: 02:17:02 | English: AAC, 128 kb/s (2 ch) | 335 MB
Genre: Development / Programming

A complete course to help you learn all the relevant aspects of data mining using R.

Mastering Data Mining with Python - Find patterns hidden in your data  eBooks & eLearning

Posted by Grev27 at Sept. 28, 2016
Mastering Data Mining with Python - Find patterns hidden in your data

Megan Squire, "Mastering Data Mining with Python - Find patterns hidden in your data"
English | ISBN: 1785889958 | 2016 | PDF/EPUB/MOBI | 268 pages | 13 MB/4 MB/7 MB

Learning Data Mining with R (repost)  eBooks & eLearning

Posted by viserion at Dec. 11, 2016
Learning Data Mining with R (repost)

Bater Makhabel, "Learning Data Mining with R"
ISBN: 1783982101 | 2015 | EPUB | 380 pages | 15 MB

Learning Data Mining with R  eBooks & eLearning

Posted by tarantoga at Jan. 27, 2016
Learning Data Mining with R

Bater Makhabel, "Learning Data Mining with R"
ISBN: 1783982101 | 2015 | EPUB | 380 pages | 15 MB

Learning Data Mining with R  eBooks & eLearning

Posted by ksveta6 at March 9, 2015
Learning Data Mining with R

Learning Data Mining with R by Bater Makhabel
2015 | ISBN: 1783982101 | English | 380 pages | PDF | 7 MB

Pandas Data Analysis with Python Fundamentals  eBooks & eLearning

Posted by FenixN at Jan. 27, 2017
Pandas Data Analysis with Python Fundamentals

Pandas Data Analysis with Python Fundamentals
HDRips | MP4/AVC, ~1250 kb/s | 1280x720 | Duration: 03:21:03 | English: AAC, 128 kb/s (2 ch) | 1.41 GB
Genre: Development / Programming / Analysis

Pandas Data Analysis with Python Fundamentals LiveLessons provides analysts and aspiring data scientists with a practical introduction to Python and pandas, the analytics stack that enables you to move from spreadsheet programs such as Excel into automation of your data analysis workflows.

Data Pipelines with Python  eBooks & eLearning

Posted by FenixN at Dec. 3, 2016
Data Pipelines with Python

Data Pipelines with Python
HDRips | MP4/AVC, ~595 kb/s | 1280x720 | Duration: 03:40:59 | English: AAC, 128 kb/s (2 ch) | 1,04 GB
Genre: Development / Programming

This course shows you how to build data pipelines and automate workflows using Python 3. From simple task-based messaging queues to complex frameworks like Luigi and Airflow, the course delivers the essential knowledge you need to develop your own automation solutions. You'll learn the architecture basics, and receive an introduction to a wide variety of the most popular frameworks and tools.

Natural Language Text Processing with Python  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Natural Language Text Processing with Python

Natural Language Text Processing with Python
HDRips | MP4/AVC, ~588 kb/s | 1280x720 | Duration: 01:54:16 | English: AAC, 128 kb/s (2 ch) | 521 MB
Genre: Development / Programming

Even though computers can't read, they're very effective at extracting information from natural language text. They can determine the main themes in the text, figure out if the writers of the text have positive or negative feelings about what they've written, decide if two documents are similar, add labels to documents, and more.