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I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More
Recently I became interested in Hadoop as I think its a great platform for storing and analyzing large structured and unstructured data sets. The experts did a great job not only explaining the... Read More
We will try to predict how often players playing a video game called PLAYERUNKNOWNS BATTLEGROUNDS(more famously known as PUBG) will win when they play by themselves.
The data set provides information about players’ statistics for approximately 85,000 of the top PUBG players. All statistics were gathered using aggregate region filters (all regions) and feature labels are subdivided by server type: solo, duo, and squad. The data consists of 87,898 players with 150 numerical game-play features per player (+2 for the player name and PUBG Tracker ID).
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
Learn to classify the sentiment of sentences from the Rotten Tomatoes dataset. You will be asked to label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive.
In this machine learning project, we will predict which coupons a customer will buy.