Text Classification using Support Vector Machines

Support vector machines are a type of supervised machine algorithm for learning which is used for classification and regression tasks.

How to decide on the right ERP, right Vendor, right Investment?

Compare the Modules, Features, Add-ons specific to your business AS-IS or TO-BE needs. Compare the License fees for software, infrastructure for 5 years +

Quick Steps to create security groups in Odoo

Quick Steps to create security groups in Odoo

30 Highlighting Features available in Odoo Enterprise Edition

Top 30 Highlighting features in Odoo Enterprise Edition

Three Easy Steps to create a Module in Odoo12

Simple steps to create a custom module in Odoo ERP

Segmentation using K-Mean Algorithm

K-Means is an introductory algorithm to clustering techniques and it is the simplest of them. K-Means is an easy to implement and handy algorithm.

Dimensionality Reduction using Principal Component Analysis

Principal component analysis (PCA) is a technique used for identification of a smaller number of uncorrelated variables known as principal components from a larger set of data.

Using Logistic Regression to predict Loan Defaults

A Logistic Regression classifies observations by estimating the probability that an observation is in a particular category.

How Data Visualization helps in Unifying Business Vision

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide..

Spam Filtering using Naive Bayes Classifier

Naive Bayes is a probabilistic classification method based on the Bayes Theorem. In general, the Bayes Theorem gives the relationship between the probabilities of two events and their conditional probability.

Effective Forecasting using Linear Regression

Linear Regression is an analytical technique used to model the relationship between several input variables and a continuous outcome variable.

Effective Decision Making using Decision Trees

Decision Trees is a type of Supervised Algorithm, which uses a tree structure to specify sequences of decisions and consequences, for a given input X,