Felan Carlo Garcia cadrev

## upgrade-postgres-9.3-to-9.5.md

      
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                johanndt
                / upgrade-postgres-9.3-to-9.5.md
            
            
              Last active
              July 15, 2022 12:35
                — forked from dideler/upgrade-postgres-9.3-to-9.4.md
            
              
                Upgrading PostgreSQL from 9.3 to 9.5 on Ubuntu
              
          
    TL;DR
Install Postgres 9.5, and then:
sudo pg_dropcluster 9.5 main --stop
sudo pg_upgradecluster 9.3 main
sudo pg_dropcluster 9.3 main

  
## learning_links
http://www.datatau.com/ - hacker news clone centered around big data, data science and data analysis

https://www.udacity.com/course/st095  - Statistics: The Science Of Decisions
https://www.udacity.com/course/progress#!/c-cs101   - Intro To Computer Science
https://www.udacity.com/wiki/ud032    - Data Wrangling With MongoDB
https://www.edx.org/course/introduction-computer-science-harvardx-cs50x (currently taking)

Data Science Learning Links:
http://nborwankar.github.io/LearnDataScience/
https://www.kaggle.com/wiki/Tutorials

## gist:1653794

      
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                entaroadun
                / gist:1653794
            
            
              Created
              January 21, 2012 20:10
            
              
                Recommendation and Ratings Public Data Sets For Machine Learning 
              
          
    Movies Recommendation:

MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html


## Stratified.R
stratified = function(df, group, size) {
  #  USE: * Specify your data frame and grouping variable (as column
  #         number) as the first two arguments.
  #       * Decide on your sample size. For a sample proportional to the
  #         population, enter "size" as a decimal. For an equal number
  #         of samples from each group, enter "size" as a whole number.
  #
  #  Example 1: Sample 10% of each group from a data frame named "z",
  #             where the grouping variable is the fourth variable, use:
  #
	http://www.datatau.com/ - hacker news clone centered around big data, data science and data analysis

	https://www.udacity.com/course/st095 - Statistics: The Science Of Decisions
	https://www.udacity.com/course/progress#!/c-cs101 - Intro To Computer Science
	https://www.udacity.com/wiki/ud032 - Data Wrangling With MongoDB
	https://www.edx.org/course/introduction-computer-science-harvardx-cs50x (currently taking)

	Data Science Learning Links:
	http://nborwankar.github.io/LearnDataScience/
	https://www.kaggle.com/wiki/Tutorials
	stratified = function(df, group, size) {
	# USE: * Specify your data frame and grouping variable (as column
	# number) as the first two arguments.
	# * Decide on your sample size. For a sample proportional to the
	# population, enter "size" as a decimal. For an equal number
	# of samples from each group, enter "size" as a whole number.
	#
	# Example 1: Sample 10% of each group from a data frame named "z",
	# where the grouping variable is the fourth variable, use:
	#