/data-science

This repository was built with the objective of storing the source codes used in the data analysis process, in addition to presenting possible questions to be answered in each analysis process, as well as the results obtained.

Primary LanguageJupyter Notebook

Data Science

feymann

This repository was built to store the source codes created on the data science processes, in addition to presenting any questions to be answered in each analysis process and the results obtained.

Directory Structure 🚀

  • coursera: place where the scripts built in the Coursera Data Science course are stored.
  • projects: place where the source codes of the personal Data Science projects created are stored.
  • training: location where .ipynb notebooks are stored containing tests or brief tutorials on any tool used in the data science process.

Projects 🔥

  • There is a relationship between number of fires and rainfall?
  • What is the average price of each type of fuel in each state of Brazil?

  • What was the average price of gas in Rio Grande do Sul by each year?

  • DOING ⚙️:

    • Investigate other databases to build a historic fuel price series;
    • Compare past data from the city of Alegrete;
  • Analysis of housing data prices in USA;
  • Comparison of housing data prices between university cities and non-university cities;
  • Validation of hypothesis with a t-test;
  • Most selected champions in 2018, listing by role;

  • Which Summoner's Rift locations have the most kills, per game time;

  • DOING ⚙️:

    • Investigation on which attributes of the match have the greatest influence on the result;
    • Comparison of attributes of Low Elo vs High Elo matches;
  • Temperature records through 2005-2014 period, in Ann Arbor, Michigan, USA.
  • Temperature records broken in 2015;