Book Image

Practical Machine Learning Cookbook

By : Atul Tripathi
Book Image

Practical Machine Learning Cookbook

By: Atul Tripathi

Overview of this book

Machine learning has become the new black. The challenge in today’s world is the explosion of data from existing legacy data and incoming new structured and unstructured data. The complexity of discovering, understanding, performing analysis, and predicting outcomes on the data using machine learning algorithms is a challenge. This cookbook will help solve everyday challenges you face as a data scientist. The application of various data science techniques and on multiple data sets based on real-world challenges you face will help you appreciate a variety of techniques used in various situations. The first half of the book provides recipes on fairly complex machine-learning systems, where you’ll learn to explore new areas of applications of machine learning and improve its efficiency. That includes recipes on classifications, neural networks, unsupervised and supervised learning, deep learning, reinforcement learning, and more. The second half of the book focuses on three different machine learning case studies, all based on real-world data, and offers solutions and solves specific machine-learning issues in each one.
Table of Contents (21 chapters)
Practical Machine Learning Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
14
Case Study - Forecast of Electricity Consumption

Exploring World Bank data


In 2012, 13 percent of the world's population lived below the international poverty line of $1.90 a day, down from 37 percent in 1990. Declines in all regions contributed to the early success of meeting the Millennium Development Goal target of halving extreme poverty globally. The aim is to eliminate poverty in all forms by 2030 and to achieve social protection for poor, increase access to basic services, and to support people harmed by conflict and climate-related disaster.

More than half the deaths recorded in low income countries is due to communicable diseases or maternal, prenatal, or nutrition conditions. While, in the middle and high-income countries more than two-thirds of the recorded deaths are due to non communicable diseases. Energy use increased about 54 percent between 1990 and 2013 worldwide. Access to energy is fundamental to development, but as economies evolve, rising incomes and growing populations demand more energy. Energy, especially electricity...