EDA_miner
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KMouratidis
Swiss army knife, but for visualization, analytics, and machine learning. View docs here: http://edaminer.com/docs/ and a demo (don't abuse) here: http://edaminer.com/
These should probably be implemented in one place and in an abstract manner so that they can be used anywhere within the app. 1. More chart types (e.g. from plotly):...
1. Improve feel and looks: - [x] Add themes (e.g. Light, Dark, etc) - [x] Review tabs system (available options, design, urls) - [x] Modify CSS and gather all styling...
1. Correctly read various formats: - [x] csv - [x] xls / xlsx - [x] json - [x] feather - [ ] html 2. Convert columns to appropriate data-types (possibly...
1. Add more algorithms: - [x] sklearn (46 so far) - [ ] [statsmodels](https://www.statsmodels.org/stable/index.html) - [ ] tensorflow / pytorch - [ ] NLP models (nltk, gensim, spacy, etc) 2....
1. Add ability to connect to more APIs: - [x] Twitter - [x] Google Sheets - [x] reddit - [x] Quandl - [x] Spotify - [x] Google Analytics - [...
Provide a better baseline function than peakutils: - [x] Exponential Moving Average + Moving Average - [x] Better fitting Moreover: - [ ] Give the ability to the users to...
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Swiss army knife, but for visualization, analytics, and machine learning. View docs here: http://edaminer.com/docs/ and a demo (don't abuse) here: http://edaminer.com/