- Capstone Project - Data Cleaning for Machine Learning on Melbourne House Data 00:41:28
- Dataset
- Download Jupyter Notebook File
- python
- pandas
- numpy
According to IBM Data Analytics you can expect to spend up to 75% of your time cleaning data. Using Python's Pandas library, we'll walk through a range of various data cleaning tasks. Specifically, we will concentrate on perhaps the largest job, missing values, for data cleaning. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting.
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