Blogs

Loan approval prediction using Gradient Boosting Classifier and Logistic Regression

The purpose is to predict the decision to approve or reject a loan application, given a set of input variables. The data has many input features with varying degrees of association with the decision to approve or reject a home loan. The variables are gender, marital status, number of dependents, education, type of employment, applicant’s income, co-applicant’s income, loan amount, loan amount term, credit history and area of the purchased property…. Continue reading

Building an AI Chatbot

The chatbot is an automated response system that resolves domain specific queries by engaging in conversation with customers/clients. The chatbot is trained to answer a set of queries based on key words or field specific jargon. A simple chatbot is designed by training on a fixed set of questions. The queries are classified into intents/tags. Each tag represents a type of user query viz. greetings, introduction, goodbye etc…. Click here

Building a Personalised Recommendation System

There are two kinds of datasets. One dataset displays ratings provided by users to movies. Every user is represented by a unique user ID, and each movie has a unique ID. The other dataset provides movie description viz. title and genre. There are multiple ratings for each movie and many ratings associated with every user. The dataset is a record of ratings given by a user to all the watched movies and a record of ratings given by a set of users to a movie. The aim of data analysis is to build a personalised set of recommendations for every user by carefully analysing user preferences for movies of different genres, based on individual user ratings…… Click Here

Heart Disease Prediction

The objective of data analysis is to predict the prevalence of heart disease from a set of factors represented as features in the data set. The objective also includes an identification of the most important factors for predicting the heart disease….. Click Here for more

Credit card Default Prediction

The aim of data analysis is to predict whether a customer will default next month in credit card payments. The critical aspect of the analysis is to accurately identify the potential defaulters. There is higher risk in misclassifying a potential defaulter as non-defaulter than in placing a non-defaulter in the defaulters’ list. Click Here for more

Artificial intelligence in India’s current tech-ecosystem

The Government of India recently announced the integration of concepts in Artificial Intelligence (AI) from Class III in educational institutions. The question is: will the incorporation of AI in school curriculum bring any fundamental difference in knowledge systems imparted to students at early age? The development of AI based systems is contingent on solution driven sophisticated AI models that rely on infrastructure for high-speed computation……...Click here for more