Making ML More Meaningful with Interpretability
Objective: Understanding the fairness of the complex machine learning algorithms to apply real time scenario with more and clear interpretability. Approach: Without reasonable understanding of how a model or data science pipeline works, real world projects rarely succeed. This study is about predicting the professor’s salary based on various characteristics like their years of experience, […]
Refresh knowledge
As the world is witnessing an unprecedented outbreak of mass proportions, and all of us are doing our bit by ensuring ‘social distancing’, essentially locking ourselves inside our own homes, totally avoiding social interactions. While our physical office stays closed and we continue to work remotely as team and manage project deadlines, missing the learning […]
Text classification – Recommending Product based on their reviews
Objective One of the leading retail company wanted to understand what is prompting users to recommend a certain product, from their reviews for the given product. Approach The reviews for the product, the satisfaction score and information on whether they recommend the product to others or not, was scraped and this was the input data […]
Identifying which statistical concepts are applied on various research papers using Topic Modeling.
Objective: As Statistics is being major contribution for research and it overlaps a great deal with machine learning as well as with deep learning applications, we have developed a model in order to find out which statistical concepts applied over particular research papers using topic modeling. Approach We have applied LDA (Latent Dirichlet Allocation) a […]
The Effect of IoT data in Marketing
Need We are all aware that machine data – from mobile apps, IoT devices etc are richer and more accurate. With the explosion of devices and data usage, we live in times of unprecedented data. The challenge is in creating the right technology and analytics driven ecosystem to capture and utilize this information for business […]
MaxDiff modelling for product feature optimization
Objective To understand which product features or applications are most important to a particular market. Approach An online quantitative survey was conducted that included a MaxDiff exercise in which 40 different product features were evaluated on what is best and worst among 15 sets with 4 features in each set. MaxDiff modelling was used over […]
Market Mix Modelling/ROI Modelling
Objective Identify relationships between sales and various marketing activities to understand how various elements of the marketing mix combine to drive sales in a competitive framework. Approach From the client’s transnational database, we have considered the retail audit data like Volume sales, WARP, Weighted Distribution, and Promotion volumes. From media data, both GRP and NGRP […]