Download this PDF book: Machine Learning Mastery With Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End by Jason Brownlee
The Python ecosystem with scikit-learn and pandas is required for operational machine learning.
Python is the rising platform for professional machine learning because you can use the same code to explore different models in R&D then deploy it directly to production.
In this book, you will discover the step-by-step process that you can use to get started and become good at machine learning for predictive modeling with the Python ecosystem including:
Python 3.6 (or 2.7)
SciPy
NumPy
Matplotlib
Pandas
Scikit-Learn
This book will lead you from being a developer who is interested in machine learning with Python to a developer who has the resources and capability to work through a new dataset end-to-end using Python and develop accurate predictive models.
After reading this ebook you will know…
How to deliver a model that can make accurate predictions on new unseen data.
How to complete all subtasks of a predictive modeling problem with Python.
How to learn new and different techniques in Python and SciPy.
How to work through a small to medium sized dataset end-to-end.
How to get help with Python machine learning.
You will know which Python modules, classes and functions to use for common machine learning tasks.
From here you can start to dive into the specifics of the functions, techniques and algorithms used with the goal of learning how to use them better in order to deliver more accurate predictive models, more reliably in less time.
Contents:
I Introduction
1 Welcome
II Lessons
2 Python Ecosystem for Machine Learning
3 Crash Course in Python and SciPy
4 How To Load Machine Learning Data
5 Understand Your Data With Descriptive Statistics
6 Understand Your Data With Visualization
7 Prepare Your Data For Machine Learning
8 Feature Selection For Machine Learning
9 Evaluate the Performance of Machine Learning Algorithms with Resampling
10 Machine Learning Algorithm Performance Metrics
11 Spot-Check Classification Algorithms
12 Spot-Check Regression Algorithms
13 Compare Machine Learning Algorithms
14 Automate Machine Learning Workflows with Pipelines
15 Improve Performance with Ensembles
16 Improve Performance with Algorithm Tuning
17 Save and Load Machine Learning Models
III Projects
18 Predictive Modeling Project Template
19 Your First Machine Learning Project in Python Step-By-Step
20 Regression Machine Learning Case Study Project
21 Binary Classification Machine Learning Case Study Project
22 More Predictive Modeling Projects
IV Conclusions
23 How Far You Have Come
24 Getting More Help
About the author:
Jason Brownlee, Ph.D. helps Python developers bring modern concurrency methods to their projects with hands-on tutorials.
Jason is a software engineer and research scientist with a background in artificial intelligence and high-performance computing. He has authored more than 20 technical books on machine learning and has built, operated, and exited online businesses.
About the book:
Publisher : Independently published (August 6, 2021)
Language : English
Pages : 176
File : PDF, 12MB
Free Download the Book: Machine Learning Mastery With Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End by Jason Brownlee
PS: Share the link with your friends
If the Download link is not working, kindly drop a comment below, so we'll update the download link for you.
Happy downloading!
