Our Dataset: Top 10 cryptocurrencies
Other Similar Datasets: For all cryptocurrencies
Top 100 cryptocurrencies
Reading Literature:
- https://dealbook.nytimes.com/2014/01/21/why-bitcoin-matters/?_php=true&_type=blogs&_r=0
- http://www.dummies.com/programming/big-data/phase-1-of-the-crisp-dm-process-model-business-understanding/
- https://hackernoon.com/bitcoin-ethereum-blockchain-tokens-icos-why-should-anyone-care-890b868cec06
- https://medium.freecodecamp.org/blockchain-is-our-first-22nd-century-technology-d4ad45fca2ce
- https://www.linkedin.com/pulse/blockchain-absolute-beginners-mohit-mamoria/
- https://arxiv.org/pdf/1611.03941.pdf
- https://decentralize.today/5-benefits-of-cryptocurrency-a-new-economy-for-the-future-925747434103
- http://seoulai.com/presentations/Trading_Bitcoin_and_Online_Time_Series_Prediction.pdf
- http://ai2-s2-pdfs.s3.amazonaws.com/e065/3631b4a476abf5276a264f6bbff40b132061.pdf
- http://trap.ncirl.ie/2496/1/seanmcnally.pdf
Imputing missing data
- https://datascienceplus.com/imputing-missing-data-with-r-mice-package/
- https://www.analyticsvidhya.com/blog/2016/03/tutorial-powerful-packages-imputing-missing-values/
- https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf
Normalisation of the Bitcoin and Ethereum data
- http://www.statisticshowto.com/normalized/
- http://www.dataminingblog.com/standardization-vs-normalization/
For PCA we have referred the following links: