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Training Systems Using Python Statistical Modeling

, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive;

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Hands-On Simulation Modeling with Python

prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book;

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Learning Predictive Analytics With Python

to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using;

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Python: Advanced Predictive Analytics

balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through;

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Time Series Algorithms Recipes

-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical;

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Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This;

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Numerical Python

science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid;

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Bayesian Analysis with Python

statistical modeling if you need to. What you will learn Build probabilistic models using the Python library PyMC3 Analyze probabilistic models with;

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Become a Python Data Analyst

Enhance your data analysis and predictive modeling skills using popular Python tools Key Features Cover all fundamental libraries for;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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Building Machine Learning Systems with Python

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;

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Building Machine Learning Systems With Python

statistical processing. Python development experience is assumed.;

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Learning Geospatial Analysis With Python

An effective guide to geographic information systems and remote sensing analysis using Python 3 About This Book * Construct;

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Python

statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Big Data Analysis with Python

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key Features;

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Statistical Optimization of Biological Systems

-needed attention to the experimental optimization of biological systems using statistical techniques. Employing real-life bioprocess optimization;

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Optimization of Energy Supply Systems

structure. The technical components of Oemof are subsequently demonstrated in mathematical calculations, along with sufficient Python code to begin;

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Python Primer for Arcgis (R)

for ArcGIS and other fields such as remote sensing, GPS, spatial modeling, and statistical analysis. A Python Primer for ArcGIS® combines;

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Natural Language Processing and Computational Linguistics

explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to;

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Mastering Python Data Analysis

Become an expert at using Python for advanced statistical analysis of data using real-world examples About This Book * Clean, format;

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Python Natural Language Processing Cookbook

visualization Key Features Analyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensim Implement;

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System Reliability Theory Models, Statistical Methods, and Applications, Third Edition Wiley Series in Probability and Statistics

modeling * Maintenance modeling and assessment using Python code * Bayesian probability and methods * Life;

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A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This;

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Learning Pandas

data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not;

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