Tutorial |link| — Datamine

Visualization engines used to map out data distributions and model metrics. 3. Data Preparation: The Most Critical Step

Algorithms are only as good as the data fed into them. Data preparation often consumes up to 80% of a data miner's time. Handling Missing Values datamine tutorial

from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score Visualization engines used to map out data distributions

print(df.info()) print(df.describe())