We have already published the first two groups of #GlobalDatathon2018 mentors, together with their thoughts about the Datathons. Now is the time for you to get to know the third group. We would like to say a big “Thank you!” to all the mentors that will be joining this edition of the event. All of […]
With the Dathathon start approaching rapidly, many of you are looking forward to speak to the mentors and tap into their knowledge and expertise. But some of you might be asking exactly what the role of the mentor is, so here is a non-exhaustive list. Mentors are there to help you when you get stuck […]
Mentors are an integral part of a great datathon. This is why for #GlobalDatathon2018, we have invested a lot of effort to bring together a great group of mentors with diverse backgrounds, experience, and superpowers. So… undoubtedly we would like to brag about them and show them our appreciation 🙂 In this sequence of articles […]
What actually does Machine Learning mean and what types of problems does it solve? This Machine Learning tutorial introduces the basics of ML theory, laying down the common themes and concepts. The practical examples substituted with the mathematical functions of univariate linear regression, linear least squares and others make it easy to follow the logic and get comfortable with machine learning basics.
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 […]