bici-sancta,bici.sancta,github

jhu_practical_machine_learning

Coursera - Data Science - Johns Hopkins University - Practical Machine Learning - Jul-2015

lsa_28feb

live session assignment - data science - 28-feb

machine-learning-in-law

This project explores the use of ML in the legal sector.

markdown-multiple-files-example

Metabolic data has the average mass, metabolic rate and average lifespan of 95 different species of mammals. Kleiber’s law states that the metabolic rate of an animal species, on average, is proportional to its mass raised to the power of ¾. Judge the adequacy of this theory with these data.

ml-road

Machine Learning Resources, Practice and Research.

money_ball

example of ordinary logistic regression model building techniques

nep_2005

national election poll results evaluation

new-america-housing-loss-public

nlp

msds 7337 nlp homework assignments

nlp_lexicon

nltk

NLTK Source

numerai

nytimes_clicks

Create a new variable ageGroup that categorizes age into following groups: < 18, 18–24, 25–34, 35–44, 45–54, 55–64 and 65+. • Use sub set of data called “ImpSub” where Impressions > 0 ) in your data set. • Create a new variable called click-through-rate (CTR = click/impression). • Use this ImpSub data set to do further analysis.Analysis of Click Stream Data • For a single day: (Use sub set of data “ImpSub” where Impressions > 0 ) – Plot distributions of number impressions and click-through-rate (CTR = click/impression) for the age groups. – Define a new variable to segment users based on click -through- rate (CTR) behavior. CTR< 0.2, 0.2<=CTR <0.4, 0.4<= CTR<0.6, 0.6<=CTR<0.8, CTR>0.8 – Get the total number of Male, Impressions, Clicks and Signed_In (0=Female, 1=Male) – Get the mean of Age, Impressions, Clicks, CTR and percentage of males and signed_In – Get the means of Impressions, Clicks, CTR and percentage of males and signed_In by AgeGroup.Analysis of Click Stream Data • For a single day: (Use sub set of data “ImpSub” where Impressions > 0 ) – Create a table of CTRGroup vs AgeGroup counts. – Plot distributions of number impressions and click- through-rate (CTR = click/impression) for the age groups – One more plot you think which is important to look at. – Submit your file in to Live session Unit 10 Assignment

openflights

Website for storing flight information, rendering paths on a zoomable world map and calculating statistics, with plenty of free airline, airport and route data.