Видавець: 8

The Dark Road

Harold Bindloss

Once Welland wanted to be rich, but it so happened that life linked him to an officers position. Now he has become an avid adventurer. Welland realized that his main occupation was hunting Canadian elk and sailing on a yacht in the Great Lakes. This life seemed boring to him and he wanted to change something on his way.

The Dark Star

Robert W. Chambers

Jim Nyland, an artist with a touch of Irish in his blood, becomes an amateur adventurer among professional spies who, in the style of the Hitchcockian protagonist, treat the danger in which he finds himself as nothing more than fun.

The Darkness at Windon Manor

Max Brand

Something natural or supernatural enters the soul of Andrew Creel, a commonplace and disaffected young man, and drives him into a swift game where death is a probability on the one side and love only a possibility on the other. Creel plays it to the end: an end unlike the end that seemed so sure when dusk fell on the garden of that charming mansion with its sinister residents who have taken up residence in the titles Windon Manor after a bank failure wiped out their fortunes eight years earlier. The Darkness at Windon Manor is an entertaining 1923 crime novel written by Max Brand aka Frederick Faust. This moving swiftly tale of mistaken identity, a femme fatale, and a haul of stolen jewels.

The Darkside Of Death

Wiktoria Nowak

On zgrzeszył, ona zbłądziła Po horrorze, jaki przeżyła w Las Vegas, Emily Rose przeprowadziła się do San Francisco, by spróbować wrócić do równowagi psychicznej i rozpocząć wymarzone studia. Wygląda na to, że z powodzeniem. W ciągu dwóch lat, które minęły od przeprowadzki, Emily stała się inną osobą - towarzyską i pewną siebie, z perspektywami na szczęśliwą przyszłość. Jedynie noce są złe. Gdy zapada zmrok, dziewczynę męczą koszmary z przeszłości. W absolutnej ciemności czai się najstraszniejszy z nich. Kiedyś to Emily Rose zaprowadziła Cadena Diaza do więzienia. Teraz on, kojarzony wyłącznie ze śmiercią, powrócił, by dokonać zemsty na osobie, którą uważał za przyczynę swojego upadku. Tu nikt nie jest bezpieczny, a każdy jest podejrzany

The Darling and Other Stories

Anton Pavlovich Chekhov

This study is about how a rich man falls in love with a woman who simply does not care about him. He is confident that a woman will make his life better. After a moment, we observe the story of unloved people who had to get married. Of course, the end will be instructive for many readers.

The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev

Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business.The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you’ll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data.By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.

The Data Science Workshop. A New, Interactive Approach to Learning Data Science

Anthony So, Thomas V. Joseph, Robert Thas...

You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition

Anthony So, Thomas V. Joseph, Robert Thas...

Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities.The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search.Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch.By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently.