code refactor

ml/predictive_modelling_for_agriculture/script.py

@@ -24,13 +24,14 @@
 
 
 # All required libraries are imported here for you.
-import matplotlib.pyplot as plt
-import pandas as pd
 from sklearn.linear_model import LogisticRegression
 from sklearn.model_selection import train_test_split
-import seaborn as sns
 from sklearn.metrics import f1_score
 
+import matplotlib.pyplot as plt
+import seaborn as sns
+import pandas as pd
+
 # Load the dataset
 crops = pd.read_csv("soil_measures.csv")
 crops['crop'] = crops['crop'].astype('category')