Data cleaning in Python with Pandas
In this tutorial we will see some practical problems we encounter when working with data, how to diagnose them and how to solve them.

Tutorial and dataset here
Github: https://goo.gl/erg89C
Blog: https://goo.gl/6PJsdo

Get more here – Building ML Web Apps
http://bit.ly/2XBQBCc

Great books for mastering data science and data cleaning
Python for data analysis: https://amzn.to/2JahTdk
Python Data Science Handbook: https://amzn.to/2XEphG3
Practical Machine Learning with Scikit-Learn & TensorFlow: https://amzn.to/2XowOcB
Python Machine Learning by Sebastian Raschka: https://amzn.to/2XqRVLw
Python Cookbook: https://amzn.to/328wqgV

Reference
Common data cleansing issues
Read file
Inconsistent column names
Missing data
Duplicates
Inconsistent data types
Outliers
Noisy data
etc.

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J-Secur1ty JCharisTech

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