Exploratory Data Analysis

In statistics, exploratory data analysis is an approach of analysing Read more

Time Series

Forecasting is the process of making predictions based on past and present Read more

Regression

In statistical modeling, regression analysis is a set of statisti Read more

Elastic Net Regression

In statistics and, in particular, in the fitting of linear or logistic r 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

Principal Component Analysis

The principal components of a collection of points in a real coor Read more

Factor Analysis

Factor analysis is a statistical method used to describe var Read more

Uniform Manifold Approximation and Projection

Uniform manifold approximation and projection (UMAP) is a nonlinear dimensionality reduction tech 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

Perceptual Map

Positioning refers to the place that a brand occupies in the mind Read more

Self Organizing Map

 self-organizing map (SOM) or self-organ 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

Advanced Text Analysis

Sentiment analysis (also known as opinion mining  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 Analysis

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

MaxDiff Analysis

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