Pinned Repositories
fanstory.github.io
github-slideshow
A robot powered training repository :robot:
MA615-Extended-Mapping-Assignment
MA615-Final-Assignment
MA615 Final Project
MA615-Unit-1-Final-Assignment
This the Final Assignment of MA615 2020. this assignment combines data cleaning, data organization, and EDA -- which is how it generally happens. You may use either of the red berries for the assignment. Finish cleaning and organizing the data. Visualize and explore the data. Prepare a report, a presentation, and a shiny application describing what you did and what you learned. Using markdown (perhaps with some additional LaTeX and HTML), format the document with headings, tables, lists, and so on. Be prepared to use your presentation slides in class. Publish your shiny app on shinyapps.io. To provide a focus for the deliverables, imagine that you are cleaning, organizing, and exploring the dataset before releasing it to an agricultural research team for analysis and modeling.
MA677-Probability-and-Statistics
MA678-Midterm-Exam
This is the Midterm Exam of MA678 2020.
MA678-Midterm-Project-2020
It is a github repo for my MA678 Midterm project in 2020.
MA679-HW_ISLR
This is the homework collection of MA679 Spring2021
mssp-repo
FANFENGdf's Repositories
FANFENGdf/fanstory.github.io
FANFENGdf/github-slideshow
A robot powered training repository :robot:
FANFENGdf/MA615-Extended-Mapping-Assignment
FANFENGdf/MA615-Final-Assignment
MA615 Final Project
FANFENGdf/MA615-Unit-1-Final-Assignment
This the Final Assignment of MA615 2020. this assignment combines data cleaning, data organization, and EDA -- which is how it generally happens. You may use either of the red berries for the assignment. Finish cleaning and organizing the data. Visualize and explore the data. Prepare a report, a presentation, and a shiny application describing what you did and what you learned. Using markdown (perhaps with some additional LaTeX and HTML), format the document with headings, tables, lists, and so on. Be prepared to use your presentation slides in class. Publish your shiny app on shinyapps.io. To provide a focus for the deliverables, imagine that you are cleaning, organizing, and exploring the dataset before releasing it to an agricultural research team for analysis and modeling.
FANFENGdf/MA677-Probability-and-Statistics
FANFENGdf/MA678-Midterm-Exam
This is the Midterm Exam of MA678 2020.
FANFENGdf/MA678-Midterm-Project-2020
It is a github repo for my MA678 Midterm project in 2020.
FANFENGdf/MA679-HW_ISLR
This is the homework collection of MA679 Spring2021
FANFENGdf/mssp-repo
FANFENGdf/Project
This is for class project at BU MSSP program