Business cannot live in isolation mode, and making the corporate purpose concrete enough is a first challenge. The old model, what was the leader as the superhero. He or she knows usually a everyth...

Summary Thinking in time when dealing with statistics involves considering the temporal aspect of data and the context in which it was collected or analyzed. This approach recognizes that statisti...

We spend a lot of time working on things that nobody else knows that exist, and this is because in order to other people see that tip of the iceberg and see how beautiful it is high and beautiful. ...

Summary Data dictionnary came with creating DBMS in the 1960’s. Organization’s created them to know what and how their data was structured. Data dictionnary describe data and this include informat...

Summary Algorithm made up of many decision trees. Its results is determined either by the average of all outputs or the most popular outcome. Bootstrap aggregating generates different datasets for...

Summary Tree boosting system that is sparsity-aware and performs weighted approximated tree learning. XGBoost is very scalable and includes automatics feature selection. Inputs Numerical Ca...

Summary Market segmentation is a critical process in marketing that involves a population target into small groups, which are more manageable based on criterias. Description Market segmentation p...

Definition: Independent variable is a variable that is manipulated or changed by the researcher to observe its effect on the dependent variable. It is also known as the predictor variable or expla...

Definition: Categorical variable is a type of variable used in statistics and research, which represents data that can be divided into categories or groups based on specific characteristics. These...

Resources UC Irvine Machine Learning Repository Open Data Canada Statistics Canada Kaggle Machine Learning Data.gov Data.gov.in Data.europa.eu International Monetary Fund IMF...