Bateman Blaine (36 results)

Condition: good. Paperback Book.

Condition: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.…

Condition: New.

Condition: New.

Condition: New. The Supervised Learning Workshop, Second Edition (Paperback or Softback).

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback or Softback. Condition: New. The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies. Book.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Discover how you can supervise machine learning algorithms in Python and personalize predictive models with the help of real-world datasetsKey FeaturesExplore the fundamentals of supervised machine learning and its applicationsLearn how to label and process data correctly using Python librariesGain a comprehensive overview of different machine learning algorithms used for building prediction modelsBook DescriptionWould you like to understand how and why machine learning techniques and data analytics are spearheading enterprises globally? From analyzing bioinformatics to predicting climate change, machine learning plays an increasingly pivotal role in our society.Although the real-world applications may seem complex, this book simplifies supervised learning for beginners with a step-by-step interactive approach. Working with real-time datasets, you'll learn how supervised learning, when used with Python, can produce efficient predictive models.Starting with the fundamentals of supervised learning, you'll quickly move to understand how to automate manual tasks and the process of assessing date using Jupyter and Python libraries like pandas. Next, you'll use data exploration and visualization techniques to develop powerful supervised learning models, before understanding how to distinguish variables and represent their relationships using scatter plots, heatmaps, and box plots. After using regression and classification models on real-time datasets to predict future outcomes, you'll grasp advanced ensemble techniques such as boosting and random forests. Finally, you'll learn the importance of model evaluation in supervised learning and study metrics to evaluate regression and classification tasks.By the end of this book, you'll have the skills you need to work on your real-life supervised learning Python projects.What you will learnImport NumPy and pandas libraries to assess the data in a Jupyter NotebookDiscover patterns within a dataset using exploratory data analysisUsing pandas to find the summary statistics of a datasetImprove the performance of a model with linear regression analysisIncrease the predictive accuracy with decision trees such as k-nearest neighbor (KNN) modelsPlot precision-recall and ROC curves to evaluate model performanceWho this book is forIf you are a beginner or a data scientist who is just getting started and looking to learn how to implement machine learning algorithms to build predicting models, then this book is for you. To expedite the learning process, a solid understanding of Python programming is recommended as you'll be editing the classes or functions instead of creating from scratch.…

Condition: New. In.

Condition: New. pp. 490 2nd Edition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Paperback. Condition: New.

Paperback. Condition: New. This workshop will teach you how to tackle modern data problems and derive value from complex datasets using the pandas library. You will gain the knowledge and skills to process a variety of data types and kickstart your Python data science career.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Discover how you can supervise machine learning algorithms in Python and personalize predictive models with the help of real-world datasetsKey FeaturesExplore the fundamentals of supervised machine learning and its applicationsLearn how to label and process data correctly using Python librariesGain a comprehensive overview of different machine learning algorithms used for building prediction modelsBook DescriptionWould you like to understand how and why machine learning techniques and data analytics are spearheading enterprises globally? From analyzing bioinformatics to predicting climate change, machine learning plays an increasingly pivotal role in our society.Although the real-world applications may seem complex, this book simplifies supervised learning for beginners with a step-by-step interactive approach. Working with real-time datasets, you'll learn how supervised learning, when used with Python, can produce efficient predictive models.Starting with the fundamentals of supervised learning, you'll quickly move to understand how to automate manual tasks and the process of assessing date using Jupyter and Python libraries like pandas. Next, you'll use data exploration and visualization techniques to develop powerful supervised learning models, before understanding how to distinguish variables and represent their relationships using scatter plots, heatmaps, and box plots. After using regression and classification models on real-time datasets to predict future outcomes, you'll grasp advanced ensemble techniques such as boosting and random forests. Finally, you'll learn the importance of model evaluation in supervised learning and study metrics to evaluate regression and classification tasks.By the end of this book, you'll have the skills you need to work on your real-life supervised learning Python projects.What you will learnImport NumPy and pandas libraries to assess the data in a Jupyter NotebookDiscover patterns within a dataset using exploratory data analysisUsing pandas to find the summary statistics of a datasetImprove the performance of a model with linear regression analysisIncrease the predictive accuracy with decision trees such as k-nearest neighbor (KNN) modelsPlot precision-recall and ROC curves to evaluate model performanceWho this book is forIf you are a beginner or a data scientist who is just getting started and looking to learn how to implement machine learning algorithms to build predicting models, then this book is for you. To expedite the learning process, a solid understanding of Python programming is recommended as you'll be editing the classes or functions instead of creating from scratch.…

Paperback. Condition: New. This workshop will teach you how to tackle modern data problems and derive value from complex datasets using the pandas library. You will gain the knowledge and skills to process a variety of data types and kickstart your Python data science career.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

LeatherBound. Condition: New. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. LeatherBound edition. Condition: New. Reprinted from edition. Leather Binding on Spine and Corners with Golden leaf printing on spine. NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. Pages: 376 As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Pages: 376 Volume NISchnical No 1270 Language: English.…

Condition: New. Print on Demand pp. 490.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. PRINT ON DEMAND pp. 490.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.