
Mastering Machine Learning with Python in Six Steps - Springer
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.
Mastering Machine Learning with Python in Six Steps - Google …
Oct 1, 2019 · Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner.
This book is your practical guide to moving from novice to master in machine learning (ML) with Python 3 in six steps. The six steps path has been designed based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away.
Mastering Machine Learning with Python in Six Steps: A …
Oct 2, 2019 · Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area. Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner.
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Mastering Machine Learning with Python in Six Steps
Jan 1, 2017 · Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. You’ll...
Mastering Machine Learning with Python in Six Steps: A …
Jun 7, 2017 · Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This books approach is based on the Six degrees of separation theory, which states that everyone and everything is …
Mastering Machine Learning with Python in Six Steps: A …
Oct 2, 2019 · 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.
Mastering Machine Learning with Python in Six Steps - Apple …
Jun 5, 2017 · Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away.
Mastering Machine Learning with Python in Six Steps
Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. You’ll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks.
Mastering Machine Learning with Python in Six Steps - Open …
Oct 2, 2019 · Source title: Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python.