Tag Archives: Indicator®

Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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Scikit-Learn Cookbook

FREEDownload : Scikit-Learn Cookbook

Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
Download links
Buy Premium To Support Me & Get Resumable Support & Fastest Speed!

Continue reading

Scikit-Learn Cookbook (PDF)

FREEDownload : Scikit-Learn Cookbook (PDF)

Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

Scikit-Learn Cookbook (PDF)
About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.

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The 8 Colors of Fitness

Suzanne Brue, "The 8 Colors of Fitness"
English | ISBN: 0979562503 | 2008 | EPUB/MOBI | 204 pages | 3,4 MB
The 8 Colors of Fitness: Discover Your Color-Coded Fitness Personality and Create an Exercise Program You'll Never Quit! (Oakledge Press, 2008) The 8 Colors of Fitness is a personality-based approach to a physically active lifestyle based on 8 sets of preferences each corresponding to a Color – The 8 Colors. By identifying your Color – and each of us falls into one of the 8 Colors, readers get a snapshot of their exercise personality. Whether you’re trying to include physical activity in your basic wellness program, an exercise enthusiast, or training for peak performance–this book is for you.
The 8 Colors of Fitness begins with a short personality assessment to guide readers in discovering their Color-Coded Fitness Personality. By identifying these preferences, readers will be well on their way to achieving their fitness goals in the most enjoyable and effective way possible. Each of the 8 color chapters includes an overall description of the personality, and follows with the approach, motivation, focus, preferred environments, roadblocks, tips and favorite activities.

Through her six years of research, the author has collected fitness success stories from people around the world. The stories are delightfully sprinkled throughout the book enabling readers to meet real people describing in their own words how they maintain a physically active lifestyle in keeping with their personality.

The book also includes a separate section for personal trainers and employee fitness professionals with suggestions on how best to communicate with each personality type for maximum results.

The 8 Colors of Fitness is based on the framework of Myers-Briggs Type Indicator® assessment. The 8 Colors of Fitness program is breaking new ground in the application of the MBTI® instrument

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