• Learnt about the working of neural networks• Got introduced to Convolutional Neural Network and Recurrent Neural Network• Predicted closing price of a stock using Linear Regression model and Long Short Term Memory (LSTM) model• Compared performance of the models and derived conclusions based on results obtained

• Created a Graph Database using Neo4j from the Relational Database provided by the company• Developed a web application using Django to display dynamic knowledge graph based on user queries• Used Neovis.js library for providing visualization of Neo4j graph in front-end• Migrated from Django to Laravel framework due to change in requirements• Successfully deployed the graph database on CentOS server of company• Coordinated with a team of 3 students and 2 professor… Show more • Created a Graph Database using Neo4j from the Relational Database provided by the company• Developed a web application using Django to display dynamic knowledge graph based on user queries• Used Neovis.js library for providing visualization of Neo4j graph in front-end• Migrated from Django to Laravel framework due to change in requirements• Successfully deployed the graph database on CentOS server of company• Coordinated with a team of 3 students and 2 professor mentors• Presented the results to the company and created documentation for future reference Show less

• Gained better mathematical understanding of classification, regression and clustering algorithms• Developed Multiple Linear Regression models (with and without Principal Component Analysis) to predict insurance costs and compared their performance

• Learnt about various Machine Learning models for classification, regression and clustering• Developed Machine Learning models for traffic prediction, face mask detection and face recognition tasks

• Studied basics of python • Learnt about various python libraries required for Machine Learning such as pandas, numpy and sklearn• Developed a Machine Learning model for zoo animal classification