CS5228 : Semester Project
Things Left to Do -
- Reason Behind Removing Outliers - Atul
- Property Type Target Encoding Grouping : Make it More Thorough - Prakhar
- Final Sanity Pass Through Data Preprocessing (With Proper Explanation for Each Choice) - Pritam
- Final Sanity Pass Through Data Preprocessing (With Proper Explanation for Each Choice) - Atul
- Final Sanity Pass Through Data Preprocessing (With Proper Explanation for Each Choice) - Prakhar
- Use Auxiliary Data to Improve Classification - Prakhar
- Switch to Sklearn Pipeline - Atul
- Recommendation System Baseline Method : Literature Search - Pritam
- Improve the Usage of Auxiliary Data (For eg, Use 'Density' instead of 'Nearest') - Prakhar
- Recommendation System Baseline Method : Literature Search - Atul, Pritam
- Define Task 3 - Prakhar
- Task 3 : Price of Old vs New - Prakhar
- Final Kaggle Classification Pipeline and Comparing Various Algorithms : Part 1 - Pritam
- kNN, Cosine Similarity - Atul
- Add Auxiliary Data into Sklearn Pipeline - Atul
- Task 3 : Size, Num beds, etc. of Old vs New - Prakhar
- Task 3 : Condos vs HDB - Due to Foreigners; Tenure across time - Prakhar
- Task 3 : Which areas are being renovated? - Help LTA to make decisions like roads, MRT, etc. - Prakhar
- Weight features to allow customization for user - Prakhar
- Final Kaggle Classification Pipeline and Comparing Various Algorithms : Part 2 - Pritam
- Write Report : Data Preprocessing and EDA - Pritam, Atul, Prakhar
- Write Report : Introduction and Motivation
- Write Report : Evaluations and Interpretation
- Write Report : Complete Report
- Readable Version of Codebase
- Submit Everything