Swamynathan, Manohar
Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python / Edition 2
- ISBN 13:
- 9781484249468
- author:
- Swamynathan, Manohar
- format:
- Paperback
- publisher:
- Apress
- language:
- English
- Publication Year:
- 2019
- Pages:
- 457
- Dimensions:
- 7.01(w) x 10.00(h) x (d)
- Genre:
- Computer Science Textbook
- Condition:
- New
- Availability:
- Item usually sent within 20 working days
Description
Mastering Machine Learning with Python in Six Steps is an updated guide to help you develop machine learning skills using Python 3. The book follows the "six degrees of separation" theory, presenting each topic in two parts: theoretical concepts and practical implementation using suitable Python packages.
You'll start by learning the fundamentals of Python 3 programming language, machine learning history, and system development frameworks. You'll then explore key data mining/analysis concepts, including exploratory analysis, feature dimension reduction, regressions, time series forecasting, and their efficient implementation in Scikit-learn. Additionally, you'll learn model diagnostic and tuning techniques, such as optimal probability cutoff points for class creation.
The book also covers advanced topics like text mining, recommender systems, neural networks, deep learning, reinforcement learning, and their implementation using Python 3 packages. The code examples are presented in the form of iPython notebooks, allowing you to try out these examples and extend them to your advantage. This guide is suitable for Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning.
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