Python can be used for a variety of coding projects including machine learning algorithms, web applications, data mining and visualization, game development.
Some of the highlights of this book include:
• What the Python language is
• How we can benefit from data analysis, no matter what industry we are.
• How Python is able to work well with the data analysis
• How to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis done.
• How to work with the Pandas and IPython extensions so that we are able to get things done with your analysis.
• A look at the Matplotlib library to help you create some of your own visuals with your data when the analysis is done.
• How to work with data visuals and how they are so important to your work.
• The five major stages of the TDSP lifecycle.
• Installation instructions for Python
• Python coding concepts such as data types, classes, and objects variables, numbers, constructor functions, Booleans and much more.
• Learn the functioning of various data science libraries like Scikit-Learn
• How to create various graphs using Matplotlib and Pandas library.
• Learn how machine learning allows analysis of large volumes of data and delivers faster and more accurate results.
• Overview of four different machine-learning algorithms
• Learn how companies are able to employ a predictive analytics model
"synopsis" may belong to another edition of this title.
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