Machine Learning Assignment Sample

Data pre-processing

Data preprocessing results in the quality of data from the dataset that can be processed by

• Data cleaning
• Data reduction
• Data transformation

Data cleaning describes the null value and missing value checking from the dataset, which increases the performance and the efficiency (Pearson, 2018). Reduction of data reduces the compiled time and the threshold value can be removed from the dataset. Data transformation defines the conversion of data from alphabetical to numerical, which helps to nurture the reach attribute for analysis.

The above image shows the null and missing value-free dataset from the original dataset, it increases the performance and efficiency of the total model. The missing value does not exist in the dataset and generated new dataset returns the other value that remains unchanged.

The above dataset is the result of a data reduction process, where the missing data are removed fr...