Jamsa, Kris,  1960- <br/><br/>
Introduction to data mining and analytics with machine learning in R and Python / 
Kris Jamsa. 
 - 668 pages :  charts ;  23 cm 
<br/><br/>Data mining and analytics (Page-1),  Machine learning (Page-44), Databases and data warehouses (Page-75),Data visualization  (Page-102),Keep Excel in your toolset (Page-159),Keep SQL in your toolset (Page-211),NoSQL data analytics (Page-291),Programming data mining and analytic solutions (Page-344),Data preprocessing and cleansing  (Page-411),Data clustering (Page-446),Classification (Page-485),Predictive anlytics (Page-530),Data association (Page-563),Mining text and images (Page-591),Big data mining (Page-609), Planning and launching a data-mining and data-anaytics project (Page-628). 
<br/><br/><label>ISBN: </label>1284180905 9781284180909 
<br/><br/><label>LCCN: </label>2019955670 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Quantitative research.<br/>Machine learning.<br/>R (Computer program language)<br/>Python (Computer program language)<br/>Data mining.<br/>Quantitative research.
<br/><br/><label>LC Class. No.: </label>QA76.9.D343  / J36 2021 
<br/><br/><label>Dewey Class. No.: </label>006.312,JAM