Tag: Automated

Feature selection is the process of identifying the most important and informative features within a dataset. It is one of the most important steps of machine learning modeling pipeline, since it has significant impact on model performance and its predictive power. Simple Visualization of Fea...

Exploratory Data Analysis (EDA) is the process of analyzing and summarizing the main characteristics of a data set, through visual and statistical methods. It’s an important step in the data science process that helps to understand the data, identify patterns and trends, detect outliers and an...

At Benchling, we’re building a platform to help scientists do research. Hundreds of thousands of scientists across academia and enterprise clients use Benchling to store and analyze scientific data, assemble DNA sequences, and design experiments. Over the last three years, we’ve ...