Python is a high-level programming language with strong support for data science and machine learning. It has a wide variety of libraries for data analysis, machine learning, and scientific computing.
Definition of Inferential Statistics Inferential Statistics: Inferential statistics are a type of statistics that are used to make estimations about populations based on samples. This is done by using the data from the sample to calculate a statistic, which is then used to make an inference about the population. What are Inferential Statistics used for?…
Definition of Data Model Data Model: A data model is a conceptual representation of data that is used to understand and design systems. A data model is a conceptual framework that defines how data is structured and how it is accessed. A data model can be used to represent data in a database, in a…
Definition of Root Mean Squared Error Root Mean Squared Error: Root Mean Squared Error (RMSE) is a measure of the accuracy of predictions made by a model. It is calculated by taking the square root of the average of the squared differences between the actual values and the predicted values.
Ad Hoc Analysis is an exploratory analysis technique used to uncover patterns or relationships in a dataset. Often times this work is performed “Ad Hoc” or “On The Fly”… meaning it it done in the moment.
Definition of Logistic Regression Logistic regression is a machine learning algorithm used for classification and regression analysis. It is a type of linear regression, where the outcome variable is categorical rather than continuous. Logistic regression is used to predict the probability of a particular event occurring, such as whether or not a customer will churn….