Semester - 3

PROJECTS

Title: Online Grocery Shopping In India- Sentiment Analysis  

Synopsis: In this project we picked up the top three online grocery apps in India i.e., BigBasket, Blinkit, and Jio Mart, and analyze customers’ sentiments over these three apps using their reviews. We manage to find out which app is better than the other two and why.

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Supervisor:  Mr. Taranga Mukherjee

Title: Time Series Analysis of CAC40 STOCK DATA 

Synopsis: The data in this project is a CAC 40 stocks data from 2010-20 (source: Kaggle). We want to analyze the various features(Volume, open price, closing price, daily high and daily low) are influencing the trend of the data and try to fit any necessary as well relevant model to estimate future returns of the stock.

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1. AAFREEN ARJUMAN

2.ISHA PANDA

3.SAHELI GHOSH

4.SUBHANI AKULY

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Supervisor: Dr. Sushovon Jana

Title: Phishing Website Classifier using Machine Learning 

Synopsis: To build a classification methodology to predict whether a Website is a phishing or not on the basis of given set of Predictors.

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Supervisor: Dr. Sushovon Jana

Title: Application of Data science in Sports Analytics 

Synopsis: Sevilla Has finished 4th in LA-LIGA season 2021-22. We have analysed the performance of the team in the this season & drawn up some conclusions for the team for improving their performance for the next season

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Supervisor:  Mr. Mayukh Bhattacharya 

Title: Clustering And Classification of Kepler’s Confirmed Habitable Rocky Exoplanets 

Synopsis:  We are mainly focused on studying the intrinsic patterns of rocky habitable exoplanets and study the property of different clusters. Studying the rocky exoplanets will help us to know a lot about our universe pattern and also studying this exoplanets particularly with earth like conditions have the potential to solve many question about our existence.

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Supervisor:  Dr. Sushovon Jana

Title:  An approach for movie recommendation system using Collaborative Filtering 

Synopsis: Recommendation System is a filtering program whose primary goal is to predict the “rating”  or “preference” of a user towards a domain-specific item. In our project, this domain-specific item  is a movie. We have provided n number of movies which are recommended by using user based collaborative system and content based recommendation system for a targeted user.

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Supervisor:  Dr. Indrani Mukherjee 

Title: Application of Supervised Learning in Fake Review Detection 

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Supervisor:  Ms. Anwesha Sengupta