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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
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Propensity Model Capstone Project

## Preprocessing Libraries from sklearn.preprocessing import LabelEncoder, StandardScaler from sklearn.model_selection import train_test_split from imblearn.under_sampling import RandomUnderSampler ...
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Here’s Every Single Plot Hole In The Stranger Things Finale

Spoiler alert: This post discusses various details from the Stranger Things Season 5 finale. Stranger Things came to an end doing exactly what it does best: giving fans a ton of pesky plot holes to ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...