Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, ...

To alleviate these problems, we propose Stratified Feature Sampling for Semi-Supervised Ensemble Clustering (SFS 3 EC). Firstly, we develop a novel stratified feature sampling method, which can cope ...

The burgeoning field of stratified / personalised medicine is reliant upon assessing patients using accurate predictive biomarkers – but how can we maximise the likelihood that our research ...

Common data reduction techniques, such as uniform and stratified sampling, do not exploit the fact that the sampled tuples will be transformed into a visualization for human consumption. We propose a ...

Random Sampling Stratified Sampling (by spending category) Modular Python code for easy integration with ML pipelines (e.g., SageMaker Processing) 📂 Project Structure consumer_spending_project/ ├── ...

A recent survey conducted by an independent, non-profit, and non-partisan opinion research think-tank known as Africa Polling ...

In this blog post I demonstrate how research data from the Alberta Teachers’ Association (ATA) draw a picture of increasing teacher attrition in Alberta, Canada, and identify ...

A LARA survey ranked Babu Owino Kenya’s top-performing MP with 88.9%, followed by Ndindi Nyoro and Sylvanus Osoro. The poll ...

While cities like New York and San Francisco may be dream destinations, the reality is far from affordable for most Americans. The average home price in New York City has climbed to $763,358 — and in ...

Experts are Mindblown After Finding Trees Have a Second Layer of Roots Similar to humans, plants have secrets that scientists ...