The Danger Mark

Robert W. Chambers

Wealth, romance, adventure and one womans struggle with addiction. This novel fits Robert W. Chambers love of walking the edge of what was acceptable to society at the time and then taking it one step further with tactful grace.

The Danvers Jewels

Mary Cholmondeley

This is a funny story told by a guy who returned from India and was entrusted with delivering jewelry to a family in England. This guy is not very smart, completely unaware and remains so throughout the story.

The DArblay Mystery

R. Austin Freeman

In this novel, Dr. Thorndyke builds a card house of wild speculations to solve a perplexing murder case, astonishing all observers, including the police. The victim is Julius D Arblay, an artist highly skilled at the rare French art of making wax-work figures and portrait masks. DArblay has a beautiful daughter, which leads to a romance with a young Dr. Grey who discovers the fathers body and brings the case to Dr. Thorndykes attention. Before the end of the story, the young doctor and his love will each have survived two murder attempts by an increasingly frantic killer. There are lots of great scenes: stalking scenes, vicious attacks on Dr. Gray and Marion with various weapons, a sinister scene in a dense yellow London fog, a humorous exhumation of a dead man of dubious identity, and very funny vignettes with a tippler of an old doctor advising Gray on how to handle troublesome patients. Thorndykes lovable lab assistant Polton has a starring role in this novel.

The Dark Cottage

Mary Cholmondeley

The old man on the bed stirred uneasily, and his white beard twitched. His wide-open eyes looked at his son with a blank look, as Michael had looked at him all his life. With a slightly trembling hand, Serena poured a few drops into a spoon and pressed them into her half-open lips.

The Dark Eyes of London

Edgar Wallace

The Dark Eyes Of London is a crime novel by the British writer Edgar Wallace which was first published in 1924. Inspector Holt and his valet Sunny are planning a visit to Monte Carlo when an urgent telegram arrives from the Chief Commissioner of Scotland Yard. Mr. Gordon Stuart has been found drowned in suspicious circumstances. An unbalanced doctor and his brother murder a series of wealthy men to benefit from their life insurance policies, using a charity for the blind as a front for their activities. Holt returns on the same boat as Flash Fred Grogan, continental crook and gambler. Attempting to solve the mystery leads Holt into a string of exciting adventures and romance. It was based on an earlier short story The Croakers which Wallace had written.

The Dark Forest

Hugh Walpole

In the first novel, which takes place in Galicia during the retreat of the Russian army in 1915, the narrator tells of a tragedy that unfolds inside a triangle: John Trenchad Maria Semenov. The theme of spiritual love in the novel is promoted by the motive of white nights. It was during this period (on white nights) that John Trenchad met Mary.

The Dark Other

Stanley G. Weinbaum

Pat is a beautiful young woman with many admirers. Nick is a young man with a secret. When his dark side interferes with their burgeoning love, things turn grim, and psychologist Carl Horker has to intervene. The plot wraps up in a way that the coming Hollywood would approve of, and with a deus ex machina that a theater would envy. Stanley Grauman Weinbaum (April 4, 1902 December 14, 1935) was an American science fiction writer. His career in science fiction was short but influential.

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 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 John, Andrew Worsley, ...

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 John, Andrew Worsley, ...

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.

The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

Mario Döbler, Tim Großmann

Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.

The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined.If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques.This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool.By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.