Introduction to data mining and analytics with machine learning in R and Python / Kris Jamsa.
Material type:
TextPublisher: Burlington, Massachusetts : Jones & Bartlett Learning, [2021]Copyright date: ©2021Description: 668 pages : charts ; 23 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 1284180905; 9781284180909Subject(s): Data mining | Quantitative research | Machine learning | R (Computer program language) | Python (Computer program language) | Data mining | Quantitative researchDDC classification: 006.312,JAM LOC classification: QA76.9.D343 | J36 2021| Item type | Current location | Home library | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds |
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Reference
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Military College of Signals (MCS) | Military College of Signals (MCS) | Reference | 006.312,JAM (Browse shelf) | Not for loan | Almirah Fresh No.44, Shelf No.2 | MCS38345 |
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).
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