<b>Learn a simpler and more effective way to analyze data and predict outcomes with Python</b> <i>Machine Learning in Python</i> shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that
Machine Learning in Python: Essential Techniques for Predictive Analysis
โ Scribed by Michael Bowles
- Publisher
- John Wiley & Sons
- Year
- 2018
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<b>Learn a simpler and more effective way to analyze data and predict outcomes with Python</b><i>Machine Learning in Python</i>shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that ef
<b>Learn a simpler and more effective way to analyze data and predict outcomes with Python</b><i>Machine Learning in Python</i>shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that ef
Learn a simpler and more effective way to analyze data and predict outcomes with Python <p>Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectivel
<b>Learn a simpler and more effective way to analyze data and predict outcomes with Python</b> <p><i>Machine Learning in Python</i> shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families t
<b>Learn a simpler and more effective way to analyze data and predict outcomes with Python</b> <p><i>Machine Learning in Python</i> shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families t