Exploratory Data Analysis with R - ML Meetup BH
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Updated
Mar 16, 2017 - R
Exploratory Data Analysis with R - ML Meetup BH
Programs made to study about deep learning on datacamp online course.
Datacamp Projects
Data analysis on the commits to the Linux kernel repository over the years.
Data analysis of the growth and impact of Bitcoin and other cryptocurrencies using Python.
This project explores the baby names dataset compiled by the Social Security Administration. The data (name, year of birth, sex and number) are from a 100 percent sample of Social Security card applications after 1879.
Data analysis of the gender distribution of children's book writers. Uses sound to match names to gender.
Exploring dataset of first names of babies born in the US in order to uncover interesting stories
Exploring 67 years of LEGO
This is the first DataCamp Project completed. It's an introduction to DataCamp Projects.
This project explores the evolution of the Linux kernel by finding top 10 contributors and visualization of commits over the years.
Course exploratory data analysis - DataCamp
This project calculates and compares profitability and risk of different investments using the Sharpe Ratio.
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Add a description, image, and links to the datacamp topic page so that developers can more easily learn about it.
To associate your repository with the datacamp topic, visit your repo's landing page and select "manage topics."