pip install skflow
python
import pandas as pd
data = pd.read_csv('student_data.csv')
features = data.drop('grade', axis=1)
labels = data['grade']
python
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.2, random_state=42)
python
import skflow
knn = skflow.DNNClassifier(n_classes=4, feature_columns=skflow.infer_real_valued_columns_from_input(X_train), hidden_units=[10, 20])
knn.fit(X_train, y_train)
accuracy_score = knn.score(X_test, y_test)
print("Accuracy:", accuracy_score)
