Unsupervised Learning: Unsupervised learning is a type of machine learning algorithm that does not rely on feedback from humans to learn how to identify patterns in data. These algorithms are typically used to identify patterns in data that have not been labeled or categorized by humans.
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….
Definition of Insights Insights: Insights are the findings or conclusions that are drawn from data. Insights can be used to make better business decisions, understand customer behavior, and track progress on strategic initiatives. What are the types of Insights a business or organization would hope to gain from analyzing data? Data-driven insights can be used…
Definition of SPSS SPSS (Statistical Package for the Social Sciences) is a software package used for statistical analysis. It was originally designed for social scientists, but has been expanded to accommodate a wider range of data. SPSS can be used to conduct basic statistical analyses, as well as more complex procedures such as multivariate analysis…
Definition of Lift Lift is a measure of how much a model predicts the value of a target variable relative to the prediction of the same target variable by a random guess. Lift is often used as a measure of how good a model is at discriminating between different groups. How is Lift used? Lift…
Definition of Vowel Removal Vowel Removal: Vowel removal is a data preprocessing technique used to remove vowels from text. This can be helpful for improving the accuracy of text-based machine learning models, as well as reducing the size of the training dataset.
Definition of Decision Tree Decision Tree: A decision tree is a graphical representation of a decision process, used to help explain the logic of a decision. The tree has nodes, which represent choices, and branches, which represent the possible outcomes of each choice. The leaves of the tree represent the end results of the decision…