Umit Mert Cakmak's Books

Mastering Numerical Computing with NumPy

Master scientific computing and perform complex operations with ease

By: Umit Mert Cakmak,Mert Cuhadaroglu

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Mastering Numerical Computing with NumPy

Master scientific computing and perform complex operations with ease

By: Umit Mert Cakmak,Mert Cuhadaroglu

Enhance the power of NumPy and start boosting your scientific computing capabilities Key Features Grasp all aspects of numerical computing and understand NumPy Explore examples to learn exploratory data analysis (EDA), regression, and clustering Access NumPy libraries and use performance benchmarking to select the right tool Book Description NumPy is one of the most important scientific computing libraries available for Python. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts. Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system. By the end of this book, you will have become an expert in handling and performing complex data manipulations. What you will learn Perform vector and matrix operations using NumPy Perform exploratory data analysis (EDA) on US housing data Develop a predictive model using simple and multiple linear regression Understand unsupervised learning and clustering algorithms with practical use cases Write better NumPy code and implement the algorithms from scratch Perform benchmark tests to choose the best configuration for your system Who this book is for Mastering Numerical Computing with NumPy is for you if you are a Python programmer, data analyst, data engineer, or a data science enthusiast, who wants to master the intricacies of NumPy and build solutions for your numeric and scientific computational problems. You are expected to have familiarity with mathematics to get the most out of this book.

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Page Count

237

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788996844

ISBN 13

9781788996846

Hands-On Automated Machine Learning

A beginner's guide to building automated machine learning systems using AutoML and Python

By: Sibanjan Das,Umit Mert Cakmak

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Hands-On Automated Machine Learning

A beginner's guide to building automated machine learning systems using AutoML and Python

By: Sibanjan Das,Umit Mert Cakmak

Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine learning components Understand each component of a machine learning pipeline in depth Learn to use different open source AutoML and feature engineering platforms Book Description AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. What you will learn Understand the fundamentals of Automated Machine Learning systems Explore auto-sklearn and MLBox for AutoML tasks Automate your preprocessing methods along with feature transformation Enhance feature selection and generation using the Python stack Assemble individual components of ML into a complete AutoML framework Demystify hyperparameter tuning to optimize your ML models Dive into Machine Learning concepts such as neural networks and autoencoders Understand the information costs and trade-offs associated with AutoML Who this book is for If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.

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Solve jigsaw puzzle

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Page Count

273

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788622286

ISBN 13

9781788622288

Mastering Numerical Computing with NumPy

Master scientific computing and perform complex operations with ease

By: Umit Mert Cakmak,Mert Cuhadaroglu

Write a review Read reviews Take a Quiz Solve Book Puzzle

Mastering Numerical Computing with NumPy

Master scientific computing and perform complex operations with ease

By: Umit Mert Cakmak,Mert Cuhadaroglu

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

237

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788996844

ISBN 13

9781788996846

Hands-On Automated Machine Learning

A beginner's guide to building automated machine learning systems using AutoML and Python

By: Sibanjan Das,Umit Mert Cakmak

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hands-On Automated Machine Learning

A beginner's guide to building automated machine learning systems using AutoML and Python

By: Sibanjan Das,Umit Mert Cakmak

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

273

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788622286

ISBN 13

9781788622288

Book's by Umit Mert Cakmak

Mastering Numerical Computing with NumPy

Mastering Numerical Computing with NumPy

Hands-On Automated Machine Learning

Hands-On Automated Machine Learning

Mastering Numerical Computing with NumPy

Mastering Numerical Computing with NumPy

Hands-On Automated Machine Learning

Hands-On Automated Machine Learning

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