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README.md

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@@ -19,6 +19,15 @@ The readers will get the opportunity to explore open-source datasets including h
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- Chapter 11: [EDA using wine quality dataset](https://github.com/PacktPublishing/hands-on-exploratory-data-analysis-with-python/tree/master/Chapter%2011)
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- Chapter 12: [Appendix: String Manipulation](https://github.com/PacktPublishing/hands-on-exploratory-data-analysis-with-python/tree/master/Appendix)
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# Want to become expert
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It is important to practice what you have learned from this book. Hence, we have created a comprehensive mobile apps where you can create a simple account and practice Exploratory Data Analysis. Here is the link to both IOS and Android app:
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<div style="text-align:center">
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[<img src="appstore" alt="app store" />](https://apps.apple.com/no/app/tech-quiz/id1510190983)
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[<img src="googleplay" alt="app store" />](https://play.google.com/store/apps/details?id=com.sureshkumarmukhiya.techquiz)
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</div>
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# Contributors
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- [Suresh Kumar Mukhiya](https://github.com/sureshHARDIYA)

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