Akshat Gupta – författare

The grumpy Dr. Srinivasan has summoned a team of six specialists to a research facility in Ross Island, India. Once there, they find themselves face-to-face with a man tied up in a room for interrogation purposes. His name is Om Shahtri, and he possesses a powerful secretone that could change the beliefs of the past and present and the course of the future forever.As events unfold, Om is compelled to recite the unbelievable story of his life and his survival for the past 431,000 years. He claims he has been present in all the Yugas and the Hindi epochs, thereby questioning the very existence of mortality. The specialists are shocked, especially when they learn the secret that Oms immortality lies in a mysterious book.They are not the only ones in search of this priceless secret. Heinous murders occur as the wicked wish of an old man gets close to being fulfilled. The book says death is not inevitable, but how? Furthermore, upon discovery, Oms book should be kept in the right handsbut when the ownership of an object could mean world domination, are any human hands safe?

Take a comprehensive and step-by-step approach to understanding machine learning

Key Features

Discover how to apply the scikit-learn uniform API in all types of machine learning modelsUnderstand the difference between supervised and unsupervised learning modelsReinforce your understanding of machine learning concepts by working on real-world examples

Book Description

Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you''ll master the scikit-learn library and become proficient in developing clever machine learning algorithms.

The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you''ve got to grips with the basics, you’ll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you''ll study the dataset of a bank''s marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You''ll also learn how to compare these models and select the optimal one.

By the end of The Machine Learning Workshop, you''ll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you''ll also have developed the skills required to get started with programming your very own machine learning algorithms.

What you will learn

Understand how to select an algorithm that best fits your dataset and desired outcomeExplore popular real-world algorithms such as K-means, Mean-Shift, and DBSCANDiscover different approaches to solve machine learning classification problemsDevelop neural network structures using the scikit-learn packageUse the NN algorithm to create models for predicting future outcomesPerform error analysis to improve your model''s performance

Who this book is for

The Machine Learning Workshop is perfect for machine learning beginners. You will need Python programming experience, though no prior knowledge of scikit-learn and machine learning is necessary.