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This repo serves as an archive of the Mini Project for year 1 sem 2 NTU CZ1015 Introduction to Data Science and Artificial Intelligence. Thanks to the good collaboration with my two teammates, Callista and Yuxuan, we got A+ for this project.

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SibingWu/Olympics-Medals-Prediction-Model

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Olympics-Medals-Prediction-Model

This repo serves as an archive of the Mini Project for NTU CZ1015 Introduction to Data Science and Artificial Intelligence.

  • Packages to be installed: i. tensorflow ii. geopandas

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  1. Data Cleaning folder a. Data Cleaning (Predictors).ipynb b. Data Cleaning (Overall).ipynb

  2. Exploratory Data Analysis & Data Visualisation folder a. Exploratory Data Analysis.ipynb b. Bokeh Map Visualisation.ipynb

  3. Machine Learning Models folder a. Linear Regression Model.ipynb b. Random Forest Model.ipynb c. CNN Keras Regression Model (Summer).ipynb d. CNN Keras Regression Model (Winter).ipynb e. 2020 Dataset Generation.ipynb f. CNN Keras Regression Model (2020).ipynb

  4. Medal Tally Prediction (2020 Olympics) a. Ensemble Learning.ipynb

  5. Miscellaneous Data Exploration a. Clustering & Anomaly Models.ipynb b. Data Cleaning_v1.ipynb & Data Cleaning_v2.ipynb

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For a brief overview of our project and individual contributions, check out our presentation slides!

The folder 'Misc. Data Exploration' consists of some of the things we did which we thought wouldn't fit the flow of the project, or didn't produce desirable results. These include different methods of data cleaning as well as clustering and anomaly detection models. But we wanted to show our effort anyway!

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CX1015 18/19 SEM 2 MINI-PROJECT GROUP 6 Callista Chang | U1821324G Ooi Yuxuan | U1822211J Wu Sibing (me) | U1822553G

Contributions Callista: a. Data Cleaning b. Data Visualisation (Plotly & Seaborn) c. Slides Yuxuan: a. Data Visualisation (Bokeh) b. Slides Sibing (me): a. Machine Learning Models b. 2020 Medal Tally Prediction

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This repo serves as an archive of the Mini Project for year 1 sem 2 NTU CZ1015 Introduction to Data Science and Artificial Intelligence. Thanks to the good collaboration with my two teammates, Callista and Yuxuan, we got A+ for this project.

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