Category: case studies

PyCaret ( (https://pycaret.org/) is an open-source machine learning library that automates the entire process of training a machine learning model. When using it, you just need to have an idea of the best features you need to train your machine learning

OBJECTIVE: Now-a-days, usage of social media has increased widely. By using social media like Twitter, YouTube, IMDB etc. users can post their reviews about movies. The economists, investors and predictive analysts are very interested to predict the success of their

Background: We are in the midst of a unprecedented outbreak of mass proportions.  We in India have seen have seen a series of all possible forms of lockdowns and un–lockdowns, the problem still seems  to be looming large upon us.

Objective: 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. We wanted to understand what

Background: We are in the midst of a unprecedented outbreak of mass proportions.  We in India have seen have seen a series of all possible forms of lockdowns and un–lockdowns, the problem still seems  to be looming large upon us.

Client: A bank in a SE Asia   Approach An online survey conducted across 6 Asia Pacific countries: Singapore, Philippines, Indonesia, Malaysia, Vietnam and Thailand. Responses were captured psychographic attributes related to ’financial security’ , ‘savings’, ‘debt’, ‘insurance’, ‘need for

OBJECTIVE From the data on various speeches on artificial intelligence and deep learning given by speakers on various platforms, the objective is to understand the different topics covered in those speeches while understanding the similarities among those speeches. APPROACH After

Objective One of the leading mobile provider wanted to monitor  tweets to find out how their customers felt about their new release of the product features Approach We extracted tweets from twitter and these extracted tweets further pre processed as