Hall of Fame 🏆
Here is an overview of student projects from previous years.
| Sem. | Title | Students | Teaser image |
|---|---|---|---|
| SS 21 | Analysis of Finance-related Reddit Communities | Philipp BlĂĽml, Diana Guzman |
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| SS 21 | Classifying Whether Twitter Authors Spread Hate Using Supervised Learning | Ramanpreet Kaur, Venkata Srinath Mannam, Anish Kumar Singh, Priyanka Singh |
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| SS 21 | Multi-Perspective and Predictive Analysis of Forests: Issues, Challenges and Global Trends | Thorben Hebbelmann, Obinna Patrick Nkwocha, Shweta Pandey, Marcel Schulte, Kiran Babu Thatha |
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| SS 21 | Effect of COVID-19 Induced Lockdown on Mental Wellbeing of Students Attending Online Classes | Ammar Ateeq, Sidra Aziz, Muhammad Hashim Naveed |
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| SS 21 | Trends in Programming Language Popularity | Indranil Maji, Indrani Sarkar, Michael Thane, Sharanya Hunasamaranahalli Thotadarya |
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| SS 21 | Behavioral and Psychological Distress of COVID-19 and Infodemics | Usama Ashfaq, Vishnu Jayanand, Ranjiraj Rajendran Nair, Madhuri Sajith, Sujith Nyarakkad Sudhakaran |
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| SS 21 | The Impact of NBA Player-related Social Media Posts on Their On-court Performance - An Analysis | Frank Dreyer, Jannik Greif, Kolja GĂĽnther |
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| SS 20 | The Impact of NBA Player-related Social Media Posts on Their On-court Performance - An Analysis | Aparajeetha Jha, Madhu, Shubham Vivek Manekar, Arvindjit Singh |
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| SS 20 | Help in Yelp: Decision Support System For New Business Ventures | Neel Rajkumar Mishra, Yash Shah, Abhinav Srivastava, Sneha Videkar |
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| SS 20 | Asteroid diameter prediction using NASA jet propulsion lab dataset | Priyanka Byahatti, Aditya Dey, Khamar Uz Zama Mohammed, Joel John Philip |
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| SS 20 | COVID-19 Prediction using Explainable Machine Learning | Subhajit Mondal, Subhankar Patra, Shivam Singh, Roshmitha Thummala, Jalaj Vora |
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| SS 20 | Multi-label Classification of News Articles on Coronavirus | Nandish Bandi, Priyanka Bhargava, Mohit Jaripatke, Calida Pereira, Chandan Radhakrishna |
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| SS 20 | Market Research for Supermarket Customer Loyality Improvement | Jayanth, Sajad Karim, Ravi Mallikarjun, Pramod, Sai Sharan |
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| SS 20 | Analysis and Predictions of the Impact of COVID-19 | Shivani Hegde, Maneendra Perera, Anne Rother, Mohammed Farhaan Shaikh, Poornima Venkatesha |
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| WS 18/19 | Clustering and Pattern Discovery of Github Project Repositories | Matthias Busch, Julian Engelhart |
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| WS 18/19 | Customer Behavioural Analytics in the Retail Sector | Nadiia Honcharenko, Shivani Jadhav, Sumit Kundu, Rutuja Shivraj Pawar |
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| WS 18/19 | Analysis and Tag Prediction for Stack Overflow Posts | Thirta Chanda, Neetha Jambigi, Subash Prakash |
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| WS 18/19 | Machine Learning for Automatic Vulnerability Detection in Cyber Security | Chetan Singh |
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| WS 18/19 | Identification of Predictors for Climate Change Effects | Praneet Chedalla, Rakesh Devalapally, Ravi Gunti, Karthik Kadajji |
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| WS 18/19 | Streaming Topic Model and Visualization for Twitter | Daniel Bokelmann, Mehedi Hasan, Rajatha Nagaraja Rao |
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| WS 18/19 | Multi-Label Classification of Legal Text Documents | Suhita Ghosh, Noor Jamaludeen, Ali Majed, Ali Raza Memon |
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| WS 18/19 | Analyzing Trajectory Data to Understand the Effects of Video Games on Human Short- and Long-Term Memory | Johannes Dambacher, Alexander Wagner |
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| WS 18/19 | Exploring Location-Based Social Network Data from Foursquare | Celine Petrosian Masihi, Ismail Samir Wahba |
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| WS 18/19 | Predictive Policing for EDA on the Dallas Crime Dataset | Alisha Mehta, Sagunala Shashikanth, Ashish Soni, Ranjan Venkatesh |
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| WS 18/19 | “Make the Liver Great Again” - Regression for High-Dimensional Longitudinal Cohort Data Study | Subhashree Mangaraj, Anirban Saha |
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