Reimplementing ML algorithms for Dask

Some machine learning algorithms have been reimplemented by the Dask development team using Dask Arrays and DataFrames. The following algorithms have been reimplemented:

• Linear machine learning models such as linear regression and logistic regression
• Preprocessing with scalers and encoders
• Unsupervised algorithms such as k-means clustering and spectral clustering

In the following subsection, we will build a logistic regression model and perform clustering on the dataset.