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Hands-On Data Structures and Algorithms with Python
Learn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental;
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Genetic Algorithms with Python
Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;
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Python Algorithms
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Applied Evolutionary Algorithms for Engineers using Python
with didactical Python implementations of the algorithms, which not only allow readers to consolidate their understanding, but also provide a;
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Data Structures and Algorithms in Python
data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book;
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Python Data Structures and Algorithms
Implement classic and functional data structures and algorithms using Python About This Book * A step by step guide, which will;
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Classic Computer Science Problems in Python
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list;
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Easy Learning Data Structures & Algorithms Python 3
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Learning Predictive Analytics With Python
Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About;
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Data Structure and Algorithmic Thinking with Python
It is the Python version of "Data Structures and Algorithms Made Easy." Table of Contents: goo.gl/VLEUca Sample Chapter: goo.gl/8AEcYk;
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Python Machine Learning
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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Hands-On Genetic Algorithms with Python
models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast;
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Python One-liners
Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book;
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Hands-On Image Processing with Python
Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical;
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Machine Learning with Spark and Python
Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;
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Getting Started with Python
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting;
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Machine Learning Guide for Oil and Gas Using Python
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;
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Hands-On Reinforcement Learning with Python
A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;
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Natural Language Processing and Computational Linguistics
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and;
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Machine Learning with Python: The Ultimate Guide to Learn Machine Learning Algorithms. Includes a Useful Section about Analysis, Data Mining and Art
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Python: Advanced Predictive Analytics
algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Master open source Python tools to build sophisticated;
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Algebraic Graph Algorithms
parallel processing of algebraic graph algorithms. Example code is presented in pseudocode, together with case studies in Python and MPI. The text;
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Data Structures & Algorithms in Python
LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS This practical introduction to data;
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Python Reinforcement Learning Projects
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;
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Python For Bioinformatics
used in the field. Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the;
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Numerical Methods in Engineering with Python
fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level;
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