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Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you'll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines.
Some of the highlights of this book include:
- Why Choose Python for Data Analysis?
- Learn Applications of Data Analysis
- Learn how machine learning allows the analysis of large volumes of data and delivers faster and more accurate results.
- Overview of four different machine learning algorithms.
- Learn how companies can employ a predictive analytics model to gain an understanding of customer interactions with their products or services based on customer's feelings or emotions shared on social media platforms.
Every concept in this book is explained with examples and exercises so you can learn and test your learning at the same time.
Remember, knowledge is power!
Your Python programming skillset will improve drastically, and you will be poised to develop your very own machine learning model in no time.
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