Tag Archives: unequivocal

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

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.

Download Links:
Uploadable

Continue reading

Galapagos [Audiobook]

Galapagos [Audiobook] by Kurt Vonnegut
English | December 10, 2010 | ASIN: B002V1CIYM | MP3@64 kbps | 7 hrs 45 mins | 213 MB
Narrator: Jonathan Davis | Genre: General Fiction
Vonnegut was in his early sixties and his career, still successful, drawing toward a kind of bitter summation when Galapagos (1985) was published. His early work with its unequivocal statement of absurdity and hopelessness was now almost four decades behind when he completed this meditation on Darwinism, fate and the essential irrelevance of the human condition.

Humanity has in the millions of years after inevitable holocaust and exile transmogrified into a race of not-quite-human seals on Darwin's Galapagos Islands. Leon Trotsky Trout, the son of Vonnegut's wretched familiar character Kilgore Trout, watches and broods over his no-longer-human descendants who have made natural selection a matter of debased survivalism.

Using a device common in his novels after Slaughterhouse-Five, the material is presented in the form of a transcript or memoir; Trout unhappily witnesses a sad outcome which may nonetheless represent the best of all human possibilities. Trout's father Kilgore, in ghostly form, remains in communication, urging his son to cease observing and exit, but Leon will not take the opportunity, feeling linked to the pathetic, morphed shards of humanity who remain on the Islands. Whether the survival of the seals constitutes human survival, whether Kilgore and his son are imaginary fragments of evolutionary decay lurk as questions beneath a sequence of events which show Vonnegut trapped in the Age of Reagan.

Vonnegut is trying to see through (rather than to shape) his material; the theme of the novel represents a kind of apotheosis and never has Vonnegut's ambiguous despair been more clearly revealed or more clearly made the engine of his narrative.

Continue reading