Ramgopal Prajapat:

Learnings and Views

Blogs
Learn R for Data Science Ram - Nov 29, 2022
In this blog, we will discuss foundational functionalities of R * Overview on R and R Studio * Data Type in R * Basic R Objects * Data Frame Manipulations * Reading and Writing Data in R * Control Statements in R
Data Science and ML Ranking and Recommendation Case Studies Ram - Nov 18, 2022
We have collated datasets, prepared the context and details for you to learn Ranking Algorithms. Ready to use datasets for Learning to Rank algorithms.
Applications of Ranking Algorithms Ram - Nov 12, 2022
In this blog, we will describe application of Ranking Algorithms for 5 different sectors with high details on how ranking algorithms are applied there. For each of these sectors, we will take up a scenario company to make very specific and relevant for you to appreciate the context. 1. Music …
Apriori algorithm for Market Basket Analysis Explained with Example Ram - Nov 11, 2022
Market Basket Analysis is a common Machine Learning Application in Retail and Ecommerce. In the previous blog, we have explained the applications and role of Market Basket Analysis (MBA. In this blog, our plan is to explain Apriori Algorithm steps with an example. The algorithm has two steps 1) Candidate …
Applications of Market Basket Analysis in Retail or Ecommerce Ram - Oct 28, 2022
There is a long list of Machine Learning applications in Retail or Ecommerce. One of the common applications is using Market Basket Analysis (MBA) for cross-sell and in-store product placements. In this blog, we will discuss provide you non-technical description of Market Basket Analysis and its applications in Ecommerce and …
6 Hats of Data Scientist Ram - Oct 02, 2022
There is a long list of questions people have around Data Science and Data Scientists considering huge curiosity and interest around AI and ML. In this blog, I am sharing my perspective on • What does a data scientist do? • What is data scientist? • What does a data …
Step by Step Learning to Rank Model Development for Ecommerce Ram - Sep 18, 2022
In this blog, we will describe application of Learning to Rank Algorithm for Ecommerce Search. The learning to rank algorithms are relevant for several scenarios in Ecommerce e.g., ranking product for search, ranking product recommendations or showing the most relevant products on category or brand pages. We will describe about …
Relevance Ranking Metric-NDCG Ram - Sep 04, 2022
Objectives of Relevance Ranking is to position relevant products on the top. When relevance rank is measured, we need to consider the distributions of the clicks and if more clicks on the top products, there can be higher relevant to the customers or users. For measuring effectiveness of the relevance …