Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data Transforms in Python
Jason Brownlee
Data preparation involves transforming raw data in to a form that can be modeled using machine learning algorithms.
Cut through the equations, Greek letters, and confusion, and discover the specialized data preparation techniques that you need to know to get the most out of your data on your next project.
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently and effectively prepare your data for predictive modeling with machine learning.
Cut through the equations, Greek letters, and confusion, and discover the specialized data preparation techniques that you need to know to get the most out of your data on your next project.
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently and effectively prepare your data for predictive modeling with machine learning.
კატეგორია:
წელი:
2020
გამოცემა:
v1.1
გამომცემლობა:
Machine Learning Mastery
ენა:
english
გვერდები:
398
ფაილი:
PDF, 3.17 MB
IPFS:
,
english, 2020
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