English | 2021 | ISBN: 9388511972 | 341 pages | True EPUB | 5.84 MB
A practical guide that will help you understand the Statistical Foundations of any Machine Learning Problem.
Key Features
● Develop a Conceptual and Mathematical understanding of Statistics
● Get an overview of Statistical Applications in Python
● Learn how to perform Hypothesis testing in Statistics
● Understand why Statistics is important in Machine Learning
● Learn how to process data in Python
Description
This book talks about Statistical concepts in detail, with its applications in Python. The book starts with an introduction to Statistics and moves on to cover some basic Descriptive Statistics concepts such as mean, median, mode, etc. You will then explore the concept of Probability and look at different types of Probability Distributions. Next, you will look at parameter estimations for the unknown parameters present in the...
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