jekyll-rtd-theme
Data Science Projects
  • 1. Modelling Population Dynamics of Organisms and negative density dependence
  • 2. SIR (Susceptible, Infected, Recovered) Model with mask wearing)
  • 3. Quantitative Model of Honey Bee Colony Population Dynamics
  • 4. Data Analysis on \(CO_2\) levels against Tide levels at Labrador Park Costal Trail
  • 5. Creating a Deep Learning Framework for analysis of single cells’ transcriptomes.
Workshop file docs
  • Data Visualisation: When to use what graph?
  • 1. Visualisation of Data using R
  • 2. Visualisation of Data using Python
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Life Science Journey in NUS (2019 - 2023)
  • 1. AY19/20: Start of a Journey in Life Sciences
TFI Workshop Files
  • Matplotlib: Basic Plotting
    • 1. Matplotlib: Basic Plotting
    • 2. Giving meaning
    • 3. Subplots
    • 4. Twin Axis
    • 5. Utilizing Other Graphical Plot
  • Pandas: Exploratory Analysis and Visualisation
    • 1. Importing Dataset & Bar Charts
    • 2. Histograms
    • 3. Scatterplot
    • 4. Boxplots and Scatter matrix
  • Applications to Covid19 dataset
    • 1. Housekeeping
    • 2. Exploration of COVID19 dataset: Bar Chart
    • 3. Exploration of COVID19 dataset: Time-Series plots
    • 4. Exploration of COVID19 dataset: Time-Series daily cases plot
    • 5. Exploration of COVID19 dataset: Effectiveness of Measures against COVID19
    • 6. Misrepresentations of COVID19 Data (and how to fix them)
  • Core Visualisation Concepts
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    • file3
Test Documentation
  • 1. Markdown Elements
  • 2. Toasts Card
  • 3. Code Blocks Hahaha
  • 4. Mermaid Test
  • 5. Emoji Test
  • 6. Gist Test
  • 7. Avatar Test
  • 8. Mentions Test
  • 9. Fonts Test
  • 10. Mathjax Test
  • 11. Primer Utilities Test
jekyll-rtd-theme
  • DS_files
  • README.md

Data Science Projects

The files under this header / folder are relevant to be classified under "Data Science", where I attempt to explore various scientific concepts using Python.

  • Modelling Population Dynamics of Organisms and negative density dependence
  • SIR (Susceptible, Infected, Recovered) Model with mask wearing)
  • Quantitative Model of Honey Bee Colony Population Dynamics
  • Data Analysis on (CO_2) levels against Tide levels at Labrador Park Costal Trail
  • Creating a Deep Learning Framework for analysis of single cells' transcriptomes.
Next

2021-2024, DarrenT Revision b9da4c8
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This Software is under the terms of MIT License.