Data Cleaning In Python with Pandas In this tutorial we will see some practical issues we have when working with data,how to diagnose them and how to solve them. ==Tutorial and Data Set 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 Hands On 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 Cleaning Issues==== Reading File Inconsistent Column Names Missing Data Duplicates Inconsistent Data Types Outliers Noisy Data etc. If you liked the video don't forget to leave a like or subscribe. If you need any help just message me in the comments, you never know it might help someone else too. J-Secur1ty JCharisTech Follow https://jcharistech.com https://www.facebook.com/jcharistech/ https://github.com/Jcharis/ https://twitter.com/JCharisTech https://blog.jcharistech.com