Data Transformation (Part 2)| Normalisation techniques

Data Transformation (Part 2)| Normalisation techniques

In the part 1 of the series we looked at the various methods of normalising the data including min-max and box-cox transformations. In this part...

Data Transformation (Part 1) | Normalisation Techniques

Data Transformation (Part 1) | Normalisation Techniques...

Almost always when we get raw data for analysis in any project, it is unfit for direct consumption for analysis or modelling. In this blog...

Using TF-IDF Algorithm to Find Relevance Score in Document Queries

Using TF-IDF Algorithm to Find Relevance Score...

As the term implies, TF-IDF stands for term frequency-inverse document frequency and is used to determine what words in a corpus of documents might be...

Demystifying Hybrid Recommender Systems and their Use Cases

Demystifying Hybrid Recommender Systems and their Use...

Recommender systems aim to provide users with personalized online product or service recommendations to handle the increasing online information overload problem and improve customer relationship...

Classifying Different Types of Recommender Systems

Classifying Different Types of Recommender Systems

Recommender systems are defined as recommendation inputs given by the people, which the system then aggregates and directs to appropriate recipients.  It can be further...