Team1's Repo

This repository is the repository for Team Fat Boys in Art of Data Science.

Contact

Emily Marshall, Jay Miller, Akash Ray, Bijan Varjavand

github handles: emarsh12, jaym910, akaseahawk, howdosheeplamp emails: emarsh12@hu.edu, jmill220@jhu.edu, ARay@hu.edu, bvarjav1@jhu.edu

Table of Contents

• Assignment 1: ./draft/summary.md

  Significance and Feasibility analysis of our proposed project topic.

• Assignment 2: ./draft/questions.md

  Asking the 6 types of scientific questions about our project topic

• Assignment 3: ./draft/new+revised_questions.md, ./code/descriptive_exploratory_answers.ipynb

  Begin answerting the descriptive and exploratory questions. After answering them, we will revise the questions and discuss those that we couldn't fully answer as well as ask follow-up informative questions.

• Assignment 4: ./code/inferential_simulation.ipynb

  Formally asked inferential question about our data, and answered it on simulated data from the null model, alternate model, and real data

• Assignment 5: ./code/regression_simulation.ipynb

  Formally asked classification question about our data, and answered it on simulated data from the alternate model, and real data

• Assignment 6: ./code/test_assumptions.ipynb

  In the previous two assignments, we made assumptions about our data. Now, we will check them and see whether or not they are true, and if not, update our understanding or assumptions about our data to those which are more right.

• Assignment 7: ./draft/presentation.pdf

  Presentation about findings and methods used throughout the project.

• Assignment 8: ./draft/progress_report.md

  Report stating all analysis completed to date, as well as logical next steps.

• Assignment 9: ./code/extended_exploratory_combined_team1.ipynb, ./code/New_Analysis_akash.ipynb, ./code/ Emily, Jay, and Bijan's are in combined notebook.

  10 new questions about previous analysis and data (group and individual).

• Assignment 10: ./draft/Assignment10_list.md, `./code/Assignment10_Group.ipynb```, ./code/Assignment10_Akash.ipynb, ``./code/Assignment10_Bijan.ipynb``, ``./code/Assignment10_Emily.ipynb``, ``./code/Assignment10_Jay.ipynb``

  10 new questions about previous analysis and data (group and individual).

• Assignment 11: ./draft/Assignment11_list.md, ./code/Assignment11_Group.ipynb, ./code/Assign11_Bijan.ipynb, ./code/Assignment11_Emily.ipynb, ./code/Assignment11_Akash.ipynb, ./code/Assignment11_jay.ipynb

  New questions about previous analysis and data (group and indiviual). Focus on exploring the "spike" in our data as well as evidence for the cortical layers.

• Assignment 12: ./draft/Assignment12_list.md, ScrapingImageData_Jay.ipynb, image_builder.py, [Spike Imaging.ipynb](./code/Spike Imaging.ipynb), [Cortical Layers Spanning Y.ipynb](./code/Cortical Layers Spanning Y.ipynb), [Imaging Cortical Layers.ipynb](./code/Imaging Cortical Layers.ipynb), ''Assignment12_Bijan.ipynb'', ''gif'',./code/Assignment12_Akash.ipynb Assignment13_list.md,image_builder.py,[Cleaned Up Analysis.ipynb](./code/Cleaned Up Analysis.ipynb),[Data Images and Analysis.ipynb](./code/Data Images and Analysis.ipynb),image_scraping_jay.py, imgScraperRevised_Jay.ipynb,''Assignment13_Bijan.ipynb'',''Clean .GIF'', ./code/Assignment13_Akash.ipynb

  New questions about previous analysis and data (group and individual). Focus on imaging data and building evidence for cortical layers in our data.

• Final Report: final_report.md

  Final report summarizing work performed throughout the course.