Projects

Explore, learn, and re-produce data science projects written in R and Python!
Forecasting the Stock Market (R)

Forecasting the Stock Market (R)

Time-Series Analysis of the S&P 500 Stock Index with R

Modeling Home Prices (R)

Modeling Home Prices (R)

Regression Analysis of Boston Home Prices with R

Iris Flower Classification (R)

Iris Flower Classification (R)

KNN Analysis of Iris Flowers with R

Forecasting the Stock Market (Python)

Forecasting the Stock Market (Python)

Time-Series Analysis of the S&P 500 Stock Index with Python

Scrape A Webpage (Python)

Scrape A Webpage (Python)

Web Scraping with Python 3

Foundational Statistics

Foundational Statistics

Expectation, Variance, Probability Distributions, Central Limit Theorem

Sentiment Analysis on Twitter (Python)

Sentiment Analysis on Twitter (Python)

Classifying Tweets of the 2016 U.S. Presidential Candidates with Python 2.7

Why data science?

  • According to Ben Walker's big data infographic on Voucher Cloud, humanity will generate around 50,000 GB of data per second by year 2018. And according to Forbes, less than 0.5% of data is currently analyzed or used at the moment.


  • At the intersection of statistics and computer science, data science is a discipline that enables human-beings to extract valuable knowledge from data. These insights are propelling our evolution as a species in advancing our understanding of the universe, enabling us to create intelligent machines, as well as improving our decision-making capabilities.


  • Data science will catalyze our transition from the information age to the intelligence age.

team

Data nerds with a flair for hacking things together.

David A. Campos

Contributor

Tech-addict who loves building internet & data machines.

Raul Eulogio

Contributor

Self-proclaimed stats nerd who loves all things data.

Vincent La

Contributor

Chill dude who enjoys writing code.


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Message us if you:



  • Want to learn more about a particular project.

  • Have feedback or suggestions about this site in general, or about any of the projects listed.

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