Improve iPython notebook focused on analyzing Twitter and Facebook data

we need to identify insights - e.g. one newspaper is better than another newspaper at twitter but it is the reverse on facebook

make the graph look better - notice the boxplots are wrong because you cant see the whole graph

we need to adjust for the size of the newspaper - e.g. just because one has likes - it might be a bigger newspaper.....which is unfair....we need to make the scale consistent

We will have around one hour to work on it.

Habilidades: Ciência de Dados, Python, Estatísticas

Veja mais: work at twitter, statistics python, python reverse, python twitter, facebook graph, analyzing data, python facebook data, twitter python, twitter facebook data, python graph, reverse data, reverse python, facebook data entry project, facebook data scrape, php import facebook data, random facebook data, facebook data ripper, scrape facebook data, scraping facebook data, facebook data, import facebook data

Acerca do Empregador:
( 5 comentários ) Brantford, Australia

ID do Projeto: #6834829

1 freelancer está oferecendo em média $111 para esse trabalho


I have 4+ years of working experience in machine learning domain and have master degree in computer science. Worked on many projects mainly in Predictive analytics, Natural language language, text mining, web mining et Mais

$111 USD in 3 dias
(1 Comentário)