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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
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
All State, a personal insurance company in the United States, is interested in leveraging data science to predict the severity and the cost of insurance claims post an unforeseen event.
This ensemble machine learning project will help you understand the best practices followed in approaching a data analytics problem through python language focusing on using data science packages. We will predict how severe insurance claims will be for All State. We accomplish this using ensemble machine learning algorithms.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
Given a partial trajectory of a taxi, you will be asked to predict its final destination using the taxi trajectory dataset.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.