Low-level Programming Language

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• Features: In Data Science, features refer to the measurable properties or characteristics of a phenomenon or object that are used to build a predictive model. These features can be numerical or categorical and are used to represent the input data in ... Read More >>
• Stratified Sampling: Stratified Sampling is a sampling technique in which the population is divided into homogeneous subgroups called strata, and a random sample is taken from each stratum. This technique ensures that each stratum is represented in the sample, ... Read More >>
• Toxicity Prediction: Toxicity prediction is the process of using machine learning algorithms to predict the toxicity of chemical compounds. This involves analyzing the chemical structure of a compound and predicting its potential to cause harm to humans or the ... Read More >>