Practical Data Analysis: Using Python & Open Source Technology
About this ebook
1. Open Source Data Analysis Tools and Techniques.
2. A Beginner’s Guide to “Python” for Data Analysis.
3. Implementing Custom Search Engines On The Fly.
4. Visualising Missing Data.
5. Sentiment Analysis and Named Entity Recognition.
6. Automatic Document Classification, Clustering and Summarisation.
7. Fraud Detection Using Machine Learning Techniques.
8. Forecasting - Using Data to Map the Future.
9. Continuous Monitoring and Real-Time Analytics.
10. Creating a Robot for Interacting with Web Applications.
Free samples of the book is available at - http://timesofdatascience.com
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About the author
Dhiraj Bhuyan holds a B.Tech in Computer Science and M.Sc in Telecommunications Engineering. He has been working in the financial services industry for more than a decade, specialising in the review and assessment of complex banking platforms, business process automation and data.
His main interests lie in exploring real-world applications of open source technology, FinTech, data science concepts, deep neural networks, machine learning, and natural language processing. He is currently working on his second book titled “Practical Data Analysis: Using Machine Learning Tools & Techniques”.
You can follow him on LinkedIn at - http://linkedin.com/in/dhiraj-
