profile sourced from GitHub
Scouting report
R-focused data learner with the cohort's deepest project portfolio
assessed from open-source footprint
The most substantive profile in this group: a Trinidad & Tobago data/ML learner working in R, with eight repositories (four original) tied to the Coursera Data Science specialization, including hands-on work cleaning Samsung accelerometer data and analysing four years of household power consumption. The account is long-standing and the projects are real and topic-coherent, even though they carry no stars and activity has since lapsed. Strengths are a clear data-science focus and multiple completed coursework projects; the limits are recency and the absence of original, beyond-coursework work. A genuine early-career data learner worth tracking.
Authorship & open source
What they build
Signal breakdown
0
4
50% forks
0
14.3 yr
0
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on Electric-Power-Consumption-
- Data / ML focus
- Core stack: R
About
Skills
- R
Featured work
Electric Power Consumption
Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical qua…
- Code
by riajack
CleaningData
This project collects, works with, and cleans a data set (data collected from the accelerometers from the Samsung Galaxy S smartphone). Therefore the…
- R
by riajack
datasciencecoursera
Repo for data science specialization on Coursera
- Code
by riajack