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Top 1200 python for data analysis PDF Book Page 50
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Spatial data analysis: theory and practice
Robert Haining
454 Pages
2003
5.955 MB
Analysis of Longitudinal Data, Second Edition
Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger199 Pages200214.899 MB
Multivariate Data Analysis
Fionn Murtagh225 Pages198620 MB
Data Structures and Algorithms in Python (Developer’s Library)
John Canning202297 MB
Fundamentals of Python: First Programs, 2nd Edition
498 Pages20177.03 MB
Hands-On APIs for AI and Data Science: Python Development with FastAPI
Ryan Day686 Pages20258.7 MB
Python for Business Analytics
Mahadi Hasan Miraz287 Pages38 MB
Using Python with ArcGIS
48 Pages20140.49 MB
Neutrosophic Association Rule Mining Algorithm for Big Data Analysis
Mohamed Abdel-Basset; Mai Mohamed; Florentin Smarandache; Victor Chang;20189.2 MB
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Bruce Ratner524 Pages20113.21 MB
Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming
Connor P. Milliken351 Pages20203.85 MB
Manual to Accompany Agresti's Categorical Data Analysis
281 Pages20090.85 MB
Data Acquisition and Preparation for Social Network Analysis Based on Email
101 Pages20090.75 MB
Signal Processing and Data Analysis
Tianshuang Qiu; Ying Guo; Tsinghua University Press602 Pages20183.153 MB
Geometry and Physics Modeling with Python
Valerie L. Gaus PhD100 Pages20103.6 MB
ERIC ED536788: Introduction to Data Analysis Handbook
ERIC20061.1 MB
Python 3
117 Pages20150.63 MB
XGBoost with Python
Jason Brownlee115 Pages1.177 MB
Functional data analysis
Ramsay J., Silverman B.W.447 Pages20052.154 MB
Models and Methods for Privacy-Preserving Data Publishing and Analysis
54 Pages20060.66 MB
S+ Functional Data Analysis: User’s Manual for Windows®
Douglas B. Clarkson, Chris Fraley, Charles C. Gu, James O. Ramsey (auth.)194 Pages20053.265 MB
Categorical Data Analysis
Alan Agresti742 Pages201229.69 MBMost books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
