In statistics, exploratory data analysis is an approach of analysing ...Read more
Data preprocessing is the activity of preparing the data for advanced ...Read more
Forecasting is the process of making predictions based on past and ...Read more
A statistical hypothesis test is a method of statistical inference used to decide ...Read more
Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization ...Read more
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships ...Read more
In statistics, the logistic regression (or binary logit model) is ...Read more
A decision tree is a decision support tool that uses a tree-like model of decisions and their ...Read more
classification is the problem of identifying which of a set of categories (sub-populations) ...Read more
The principal components of a collection of points in a real coordinate space are ...Read more
XGBoost is adept at handling non-linear relationships and has good ...Read more
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of ...Read more
Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that ...Read more
In statistics the k-nearest neighbors algorithm is a non-parametric classification ...Read more
Cluster analysis or clustering is the task of grouping a ...Read more
In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is ...Read more
In statistics, multinomial logistic regression is a classification method that ...Read more
Text mining, also referred to as text data mining, similar to text ...Read more
Conjoint analysis is a survey-based statistical technique used in market research ...Read more
The MaxDiff is a long-established academic mathematical theory with very specific assumptions ...Read more
The Price Sensitivity Meter (PSM) is a market technique for ...Read more
Social network analysis (SNA) is the process of investigating social structures ...Read more
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural ...Read more
In machine learning and natural language processing, a topic model is a type of statistical model for ...Read more
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural ...Read more
Positioning refers to the place that a brand occupies in the minds of ...Read more
Recommendations systems are ML algorithms used to recommend selections to ...Read more