TY  - BOOK
AU  - Jamsa,Kris
TI  - Introduction to data mining and analytics with machine learning in R and Python
SN  - 1284180905
AV  - QA76.9.D343 J36 2021
U1  - 006.312,JAM 
PY  - 2021///]
CY  - Burlington, Massachusetts
PB  - Jones & Bartlett Learning
KW  - Data mining
KW  - Quantitative research
KW  - Machine learning
KW  - R (Computer program language)
KW  - Python (Computer program language)
KW  - fast
N1  -  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)
ER  -