Ultimate Step by Step Guide to Machine Learning Using Python: Predictive modelling concepts explained in simple terms for beginners
Language: English
Published by Independently published, 2020
Series: Book 1 of 4 - Ultimate Step by Step Guide to Machine Learning
- Softcover
- Used

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Condition: Used - Very good
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- Title
- Ultimate Step by Step Guide to Machine Learning Using Python: Predictive modelling concepts explained in simple terms for beginners
- Author
- Anis, Daneyal
- Publisher
- Independently published
- Publication year
- 2020
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 13
- 9798611399538
- Series
- Book 1 of 4: Ultimate Step by Step Guide to Machine Learning
*Start your Data Science career using Python today!*
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Are you overwhelmed with complexity of the books on this subject?
Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days!First part of this book introduces Python basics including:
1) Data Structures like Pandas
2) Foundational libraries like Numpy, Seaborn and Scikit-Learn
Second part of this book shows you how to build predictive machine learning models step by step using techniques such as:
1) Regression analysis
2) Decision tree analysis
3) Training and testing data models
4) And much more!
After reading this book you will be able to:
1) Code in Python with confidence
2) Build new machine learning models from scratch
3) Know how to clean and prepare your data for analytics
4) Speak confidently about statistical analysis techniques
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What sets this book apart from other books on the topic of Python and Machine learning:
1) Step by step code examples and explanation
2) Complex concepts explained visually
3) Real world applicability of the machine learning models introduced
4) Bonus free code samples that you can try yourself without any prior experience in Python!
What do I need to get started?
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Ready to dive in to the exciting world of Python and Machine Learning?
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"Synopsis" may belong to another edition of this title.
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