Book Image

Python Machine Learning Blueprints - Second Edition

By : Combs, Chhajed, Roman
Book Image

Python Machine Learning Blueprints - Second Edition

By: Combs, Chhajed, Roman

Overview of this book

Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects.
Table of Contents (13 chapters)

Types of market analysis

Let's begin with a discussion of some key terms and methods of analysis when dealing with financial markets. Though there are countless financial instruments, including stocks, bonds, ETFs, currencies, and swaps, we'll limit our discussion to stocks and the stock market. A stock is simply a fractional share of ownership in a public company. The price of a stock is expected to increase when future prospects for the company rise, and decrease as these prospects decline.

There are generally two camps that investors fall into. The first are the fundamental analysts. These analysts pore through company financials looking for information that indicates that, somehow, the market is undervaluing the shares of the company. These investors look at various factors, such as revenue, earnings, and cash flow, and various ratios of the values. This frequently...