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pdf | 16.26 MB | English | Isbn:‎ 979-8611399538 | Author: Kim Phuc Tran | Year: 2020

Description:

    *Start your Data Science career using Python today!* 

    Are you ready to start your new exciting career? Ready to crush your machine learning career goals? 

   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 
Data Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world! 
If you are on the fence about making the leap to a new and lucrative career, this is the book for you!

   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? 
You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and machine learning and start lucrative and rewarding career! 
Ready to dive in to the exciting world of Python and Machine Learning?
Then scroll up to the top and hit that BUY BUTTON!

Category:Transformations Mathematics, Data Structure and Algorithms, Mathematics Research