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This page contains details of my academic work i.e. project and coursework reports. Please use navigation on the right to read my write up on data science and machine learning. Sample code for some of my work is available at: Github
This page contains details of my academic work i.e. project and coursework reports. Please use navigation on the right to read my write up on data science and machine learning. Sample code for some of my work is available at: Github
- Excerpts from my MBA dissertation in behavioural finance published by Taylor & Francis in Journal of Gender Studies: Click for report
- SPSS was used for data analysis
- Data Science (DS) coursework on yelp dataset: Click for report
- Python was mainly used for analysis
- A suite of other tools (refer the picture below) was also used and the details are provided in the report
- Visual Analytics (VA) coursework on impact of financial consolidation in the UK with Bank of England household survey data and related datasets from Office of National Statistics, UK: Click for report
- Only R programming was used for this coursework
- Computer Vision (CV) coursework on face recognition, emotion recognition and augmented reality. Feature extraction was done with HOG, SURF and LBP. Classification was done with SVM, Random Forest and Feedforward neural network. Click for report and code.
- MATLAB was used for this coursework
- Binary classification model was created using Random Forest to predict airline delay. A flight is classified as delayed if delay time is > 15mts. Click for summary and code.
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