Machine Learning, Dask, Python, Data Science, Linear Models.
y_train, y_test = train_test_split(X, y, random_state=42) ❶ >>> lr = LogisticRegression() >>> with ProgressBar(): >>> lr.fit(X_train, y_train) ❷ ❶ The train_test_split function divides the data into two pieces randomly by default this is a 90/10 split, where 90% of the data is in train and 10% of