Supervised Machine Learning - Linear Regression
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Supervised Machine Learning - Linear Regression

About the Book

The book is intended to get you acquainted with the world of Supervised Machine Learning and does not assume previous knowledge of the field. The commonly leveraged Linear Regression technique used to provide predictions that are continuous in nature is detailed in the book. SAMPLE CODE INCLUDED!

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    • Non-Fiction
    • Data Science
    • Artificial Intelligence
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About the Author

Shefali Nayak
Shefali Nayak

The author, Shefali Nayak holds a Masters degree in Statistics with 10+ years of work experience in Management Consulting, Strategic Marketing, Credit and Operational Risk Management, Cards and Payments Strategy. All views, illustrations, examples expressed in the book are the author's own creation to make the concepts relatable and easy to understand.

As a data science professional the author specializes in statistical and machine learning modeling, data-driven decision making across various stages of the customer lifecycle, conceptualization and development of cross-sell initiatives, probability of default modeling, portfolio model monitoring, and strategy development for risk management.

The 3 books by the author: What Just Happened? - Descriptive Statistics, Sampling Techniques and Big Data Analytics are an easy gateway to the world of Data Science and explain the common concepts, terminologies in Statistics, ML, AI and Data Science in a very simple manner with real-world examples.

Shefali Nayak

Episode 202

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