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I have 11 years of experience and work with IBM. My domain is Travel, Hospitality and Banking - both sectors process lots of data. The way the projects were set up and the mentors' explanation was... Read More
I have extensive experience in data management and data processing. Over the past few years I saw the data management technology transition into the Big Data ecosystem and I needed to follow suit. I... 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 machine learning project, we will predict which coupons a customer will buy.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.