Recently, Facebook is in news almost daily for its inability to prevent Cambridge Analytica(CA) from gathering personal data from 87 million users. CA used the harvested data to profile users to predict voting patterns in 2016 US presidential elections. Some of the important dates for the event are: March 16, 2018: The news broke of the scandal March 21, 2018:…
Organisations embracing big data use non-traditional strategies and technologies to gather, organize, process and gather insights from large datasets. These solutions do not support real-time analytics. Real-time analytics require technology to handle data that is generated at high velocity and send by the sources simultaneously in small sizes. Data is required to be processed sequentially and incrementally on a record-by-record…
Abstract— Text analytics is the method of extracting information from text. It involves structuring the text to evaluate, discover patterns and interpret the output. It enhances meaning to data and finds nuggets of information from both transaction-based and decision support systems by removing the barrier between structured and unstructured data. Analysis of text data helps to discover new relationships from…
This blog is an analysis of winning numbers of Irish Lotto from last two years. The National Lottery brought new initiatives from Thursday, September 3, 2015, with adding two numbers to the draw meaning players choose from 47 numbers rather than 45 numbers. With this change, the odds of picking the six winning numbers went from just over eight million to one…
Guide for Linear Regression using Python – Part 2 This blog is the continuation of guide for linear regression using Python from this post. There must be no correlation among independent variables. Multicollinearity is the presence of correlation in independent variables. If variables are correlated, it becomes extremely difficult for the model to determine the true effect of X on…
Regression is the first algorithm we need to master if we are aspiring to become a data scientist. It is one of the easiest algorithms to learn yet requires understanding and effort to get to the master it. In this blog is a guide for linear regression using Python. It will focus on linear and multiple regression. We will learn the…
In this blog, we will be predicting NBA winners with Decision Trees and Random Forests in Scikit-learn.The National Basketball Association (NBA) is the major men’s professional basketball league in North America and is widely considered to be the premier men’s professional basketball league in the world. It has 30 teams (29 in the United States and 1 in Canada). The data…
Bitcoin has been in news quite a bit lately with the price soaring. It was named the top performing currency four of the last five year. And it’ price has the potential to hit over $100,000 in 10 years, which would mark a 3,483 percent rise from its recent record high. In this post, we are modeling Bitcoin’s Market Capitalization. Bitcoin…