From 489f3f78bf5a63468e82a7ce9aac29c4a698d8db Mon Sep 17 00:00:00 2001 From: KOSASIH Date: Sat, 3 Aug 2024 13:16:24 +0700 Subject: [PATCH] Create advanced_data_analytics.py --- .../advanced_data_analytics.py | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 blockchain_integration/pi_network/pi_network_university/advanced_data_analytics.py diff --git a/blockchain_integration/pi_network/pi_network_university/advanced_data_analytics.py b/blockchain_integration/pi_network/pi_network_university/advanced_data_analytics.py new file mode 100644 index 000000000..028e76ddd --- /dev/null +++ b/blockchain_integration/pi_network/pi_network_university/advanced_data_analytics.py @@ -0,0 +1,23 @@ +import pandas as pd +import numpy as np +from sklearn.decomposition import PCA +from sklearn.manifold import TSNE + +# Load course metrics data +course_metrics = pd.read_csv('data/course_metrics.csv') + +# Define advanced data analytics function +def analyze_course_metrics(course_metrics): + # Extract features from course metrics + features = np.array([course_metrics['feature1'], course_metrics['feature2'], ...]) + + # Apply PCA to reduce dimensionality + pca = PCA(n_components=3) + features_pca = pca.fit_transform(features) + + # Apply t-SNE to reduce dimensionality further + tsne = TSNE(n_components=2) + features_tsne = tsne.fit_transform(features_pca) + + # Return analyzed course metrics + return features_tsne