Type I Error
Definition of Type I Error
Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Definition of SaaS SaaS: Service as a software (SaaS) is a software delivery model in which software and its associated data are hosted by the provider. Customers can access and use the software, typically through a web browser, while the provider manages the infrastructure and security.Service as a software (SaaS) is a software delivery model…
Definition of Function Function: A function is a set of instructions that tells a computer what to do. Functions can be used to calculate things, or to make decisions. What are Functions used for? Functions are a key component in the programming language of data science and machine learning. A function is a block of…
Cross Validation: Cross validation is a technique used in data science to improve the accuracy of predictions. It works by splitting the data into two sets, a training set and a testing set. The training set is …
Definition of Resampling Resampling: Resampling is a technique used in data science to create new datasets from existing ones. It involves selecting a subset of the data to be used in the new dataset, and then randomly selecting samples from that subset. This process is repeated multiple times to create a new dataset that is…
Definition of Pandas Pandas is a software library written for the Python programming language that enables data analysis. It provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Pandas is free software released under the 3-clause BSD license.