Introduction: In our previous blog, we were able to gain deeper insights into our data through exploratory data analysis and as a supplement we were also able to create a Data Visualization project with graphs generated from the Explain feature. In this blog, we will create a model using one of the machine learning algorithms and apply it to the test data to predict customers that are likely to open Term deposits.
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Tejaswini Uppu is one of our Analytics Associate based in Hyderabad, India and has been with Apps Associates for more than 2 years working on multiple Analytics technologies spanning Oracle, Informatica, Snowflake and Python.