Book description
Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages.
You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. You’ll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data.
Finally, you’ll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage.
What You'll Learn
- Understand machine learning development and frameworks
- Assess model diagnosis and tuning in machine learning
- Examine text mining, natuarl language processing (NLP), and recommender systems
- Review reinforcement learning and CNN
Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.
Table of contents
Product information
- Title: Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
- Author(s):
- Release date: October 2019
- Publisher(s): Apress
- ISBN: 9781484249475
You might also like
book
Python Machine Learning
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and …
book
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …
book
Machine Learning with Python for Everyone
The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python will help you …
book
Data Science from Scratch, 2nd Edition
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …