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/ ├── ...

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 ...

Prime Minister Datuk Seri Anwar Ibrahim has a positive approval rating of 55% according to a recent survey conducted by ...

At the midpoint of his term, Prime Minister Anwar Ibrahim sees a slight rise in approval but faces mounting pressure over ...