Tableau
Definition of Tableau
Tableau is a data visualization software used to create charts and graphs from data. It can be used to find patterns and trends in the data, as well as to present the data in a visually appealing way.
Tableau is a data visualization software used to create charts and graphs from data. It can be used to find patterns and trends in the data, as well as to present the data in a visually appealing way.
Definition of Optimization Optimization: Optimization is the process of making something as good as possible. In data science, this usually means finding the best way to use the data to achieve a goal. This can involve choosing the right algorithm to use, or finding the right settings for that algorithm.
Definition of Mean Absolute Error Mean Absolute Error (MAE) is a measure of the accuracy of predictions made by a model. It is computed by taking the average of the absolute differences between the predicted values and the actual values for each observation. How is Mean Absolute Error used? Mean Absolute Error (MAE) is a…
The Chi-square Test is a statistical hypothesis test used to determine the significance of the difference between the observed and expected values of a given data set. The chi-square statistic is used to …
Definition of Kernel Regression Kernel Regression: Kernel regression is a type of nonlinear regression that uses a kernel function to calculate the weight of each input data point. This type of regression is often used for time series data, where the input points are close together in time. How is Kernel Regression used? Kernel Regression…
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…
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 …