My work for the nine courses in Harvard's data science program, each with notes/assignments. Work in progress.

The scope of project is to read, load, and clean test and training data, append data frames and then label them. We have used dplyr package.

Data cleaning processes for the RCCE assessment

Course work material

Data wrangling and analysis in support of the report, "Assessing the impact of conflict on development in North-East Nigeria" (2020)

Clean messy data for use on open-sdg site

Wrangling ugly messy datasets to an analysable format

Learning from the book R for Data Science by Garrett Grolemund and Hadley Wickham

One day One commit for 100days

Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost

Code repository for initial exploration of HTC data (2016-2017)

This repository contains code for the analysis contained in the report "The future of health in Africa: how achievable is SDG3?" (2019, unpublished).

This is a repository of #rstats solutions to the Preppin' Data challenges published at preppindata.com

Shiny Contest 2021 Submission - Biodiversity in U.S. National Parks

Data wrangling workshop for the McGill initiative in Computational Medicine (winter 2021)