Build Apache Spark Machine Learning Project (Banking Domain)
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Predicting Customer Response to Bank Direct Telemarketing Campaign Project in Apache Spark Project Machine Learning
Predicting Customer Response to Bank Direct Telemarketing Campaign Project in Apache Spark Project (Machine Learning) for a beginner using Databricks Notebook (Unofficial)
Why should you learn Apache Spark Machine Learning Project?
Apache Spark Machine Learning is becoming incredibly popular, and with good reason. According to IBM, Ninety percent of the data in the world today has been created in the last two years alone. Our current output of data is roughly 2.5 quintillion bytes per day. The world is being immersed in data, more so each and every day.
Machine learning is about learning from existing data to make predictions. It's based on creating models from input datasets for data-driven decision making.
Data science is the discipline of extracting the knowledge from large datasets (structured or unstructured) to provide insights to business teams and influence business strategies and roadmaps. The role of a data scientist is more critical than ever in solving problems that are not easy to solve using traditional numerical methods.
Project Details:
Telemarketing advertising campaigns are a billion-dollar effort and one of the central uses of the machine learning model. However, its data and methods are usually kept under lock and key. The Project is related to the direct marketing campaigns of a banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.
In this Data Science Machine Learning project, we will create Predicting Customer Response to Bank Direct Telemarketing Campaign Project in Apache Spark Project (Machine Learning) using Classification Model, Logistic Regression, few of the predictive models.
Explore Apache Spark and Machine Learning on the Databricks platform.
Launching Spark Cluster
Create a Data Pipeline
A process that data using a Machine Learning model (Spark ML Library)
Hands-on learning
Real-time Use Case
Publish the Project on Web to Impress your recruiter
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