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Data science projects created using actual data, using Python and R.

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Welcome to my Project Repository!

This Github repository holds all notable Data Science projects done by me. Each folder holds a separate project, and contains its own README.md file, containing project specific instructions.

The following projects can be currently accessed on this repository:-

  1. Machine Learning Research Project on Queen Bee Acceptance and Presence:

    • This research project can be found in the folder 'Queen_Bee_ML'.
    • It has been created in Python, using Spyder, an IDE for Python.
    • It was done as a part of a dissertation for my masters degree in data science and statistics.
  2. Hierarchical Linear Modelling on Spotify's Audio Features:

    • This project can be found in the folder 'Spotify_HLM'.
    • It has been created using R in Studio.
  3. Time Series Modelling on Fukushima Daiichi Nuclear Fallout Data:

    • This project can be found in the folder 'Fukushima_Daiichi_TS'
    • It has been created using R in Studio.

Other: This folder contains miscellaneous scripts that are not necessarily projects but may be helpful. At present it contains:

  1. Instructions for Bulk Installation of R libraries.

The following software may be required for replicating or executing the projects within this repository:

  1. R (Base)
  2. R Studio
  3. Python (Base)
  4. Anaconda
  5. Spyder
  6. Git