Data Knowledge Agent
This agent helps you to assess the data quality, gather insights, and provide recommendations on Read more
Data Preprocessing
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Data Exploration
In statistics, exploratory data analysis is an approach of analysing Read more
Hypothesis Testing
A statistical hypothesis test is a method of statistical inference&nbs Read more
Elastic Net Regression
In statistics and, in particular, in the fitting of linear or logistic r Read more
Discriminant Analysis
Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or di Read more
Regression
In statistical modeling, regression analysis is a set of statisti Read more
Binary Logit
In statistics, the logistic regression (or binary logit model) is used to model the probability o Read more
Multinomial logit
In statistics, multinomial logistic regression is a classification method that generalizes logist Read more
Classification
classification is the problem of identifying which of a set of categor Read more
Decision Tree
A decision tree is a decision support tool that uses a Read more
Random Forest
Random forests or random decision forests are an Read more
K - Nearest Neighbour
In statistics the k-nearest neighbors algorithm is a non-parametric classification method. It is Read more
Perceptual Map
Positioning refers to the place that a brand occupies in the mind Read more
Factor Analysis
Factor analysis is a statistical method used to describe var Read more
Principal Component Analysis
The principal components of a collection of points in a real coor Read more
Uniform Manifold Approximation and Projection
Uniform manifold approximation and projection (UMAP) is a nonlinear dimensionality reduction tech Read more
Self Organizing Map
self-organizing map (SOM) or self-organ Read more
Cluster Analysis
Cluster analysis or clustering is the task of grouping a set of objects in such a way that object Read more
Text Analysis
Text mining, also referred to as text data mining Read more
Sentiment Analysis
Sentiment analysis (also known as opinion mining Read more
Latent Topic Analysis
In machine learning and natural language processing, a topic model Read more
Adjacency Matrix
In graph theory and computer science, an adjacency matrix&nb Read more
Network Analysis
Social network analysis (SNA) is the process of investigat Read more
Text Network
Text network analysis refers to a family of methods that describe relationships between units of Read more
Recommendation System
Recommendations systems are ML algorithms used to recommend selections to a user based on his pro Read more
Conjoint with Segmentation
Conjoint analysis is a survey-based statistical technique used in market re Read more
Conjoint Analysis - Basic
Conjoint analysis is a survey-based statistical technique used in market re Read more
Conjoint Design
Conjoint analysis is a survey-based statistical technique used in market re Read more
MaxDiff Design
The MaxDiff is a long-established academic mathematical theory with ve Read more
Price Sensitivity Meter
The Price Sensitivity Meter (PSM) is a market technique for determining consumer price preference Read more
MaxDiff Analysis
The MaxDiff is a long-established academic mathematical theory with ve Read more
Time Series Analysis
Forecasting is the process of making predictions based on past and present Read more