Icon

07.01 Missing Value Handling exercise

<p>07.01 Missing Value Handling - exercise<br><br>[L4-ML] Machine Learning Algorithms - Specialization</p><p>07 Data Cleaning Preparation<br>Handle missing values in the data by<br>- Setting them to a fixed value (zero)<br>- Generating a dummy column based on missing values in another column<br>- Replacing them with the column mean or the most frequent value in the column<br>- Looking for different missing value patterns in the data<br>- Filtering out columns that have many missing values</p>

URL: Description of the Ames Iowa Housing Data https://rdrr.io/cran/AmesHousing/man/ames_raw.html
URL: Ames Housing Dataset on kaggle https://www.kaggle.com/prevek18/ames-housing-dataset

Nodes

Extensions

Links