Between 27th and 29th April, 2018, the Data Science Society organized the world’s first online Academia Datathon – a global Data Science University competition. The event was held online and on-site at the participating Universities. Within 48 hours, a total of 130 participants from more than 6 countries and 10 universities experimented with exclusive cryptocurrency […]
The people who are changing the education and helping more than 150 students to face up the Data Science Crypto Challenge! We are proud to introduce you to our mentors’ team
In : import numpy as np import pandas as pd import matplotlib.pyplot as plt from statsmodels.tsa.seasonal import seasonal_decompose from statsmodels.tsa.arima_model import ARIMA from statsmodels.graphics.tsaplots import plot_acf, plot_pacf import time Enthusiast Team: Datathon Case¶Predicting Cryptocurrency prices¶Reading the Currencies for the First Problem¶ In : currency_info = pd.read_csv(“currencies.txt”, sep = “\t”) currency_info Out: Currency ticker CoinID 0 Bitcoin BTC […]
TOOL USED R MICROSOFT AZURE MICROSOFT EXCEL SUMMARY The Dataset is time series data of crypto currency consisting of of 1869 observation and 21 features(each feature showing different crypto currency). Frequency of the observations is 5 min showing from date 18/01/18 to 24/01/18. BUSINESS UNDERSTANDING As the data belongs to the crypto exchange. Intraday short-term […]
Our team Hack Alternative has been assigned to work upon making predictions on Cryptocurrency.
We were provided data on cryptocurrency in a CSV file named Price_Data .
We took data from the same from 18th Jan 2018 to 24 Jan 2018 to predict the next day’s cryptocurrency.
We used 20 columns of cryptocurrencies taking 5 days each.
Then we imputed missing valuesin the data using imputeTS package.
Used Neural Network Model to forecast the future cryptocurrency value.
Lastly we used looping construct to generate 100 CSV files consisting of 20 cryptocurrencies with 5 days each.