This June Data Science Society is presenting to you the Summer School of Research Methods! We are involved in the action and will be able to provide you with exclusive videos from the lectures and workshops. If you are interested in Forecasting, Machine self-learning and AI this is a great opportunity for you to grab some awesome materials on the topics presented by our experts.
This June on 14th, Data Science Society wants to introduce you to WorldQuant and their lecture on the topic of Quantitative Finance and Data.
Jeffrey Scott who is Deputy General Manager of WorldQuant will lead the lecture and will show us his views on the topic. Along with that few researchers will be our guests for the data science discussion.
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 […]
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 […]