Data Science and Analytics with Python by Jesus Rogel-Salazar
Since the first edition of Data Science and Analytics with Python we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This has led to book becoming a key textbook among practitioners and students.-
Data Mining with R
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Biological Data Mining
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Exploratory Data Analysis Using R
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Advanced Data Science and Analytics with Python
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Automated Data Analysis Using Excel
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Privacy-Aware Knowledge Discovery
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Computational Intelligent Data Analysis for Sustainable Development
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Data Mining for Design and Marketing
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Data Classification
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Statistical Data Mining Using SAS Applications
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Mining Software Specifications
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Contrast Data Mining
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Introduction to Computational Health Informatics
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Social Networks with Rich Edge Semantics
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Graph-Based Social Media Analysis
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Industrial Applications of Machine Learning
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Computational Business Analytics
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Event Mining
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Advances in Machine Learning and Data Mining for Astronomy
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Human Capital Systems, Analytics, and Data Mining
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Practical Graph Mining with R
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Large-Scale Machine Learning in the Earth Sciences
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Support Vector Machines
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Geographic Data Mining and Knowledge Discovery
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Demystifying AI
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Data Science and Machine Learning for Non-Programmers
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Knowledge Discovery from Data Streams
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RapidMiner, Second Edition
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Feature Engineering for Machine Learning and Data Analytics
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Text Mining and Visualization
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Knowledge Guided Machine Learning
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Healthcare Data Analytics
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Text Mining
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Data Science and Analytics with Python |
| Author | Jesus Rogel-Salazar |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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