What you'll learn

In this Apache Spark Project course you will implement Predicting Customer Response to Bank Direct Telemarketing Campaign Project in Apache Spark (ML) using Databricks Notebook (Community edition server)

Launching Spark Cluster

Create a Data Pipeline

Process that data using a Machine Learning model (Spark ML Library)

Hands-on learning

Real- Use Case

Publish the Project on Web to Impress your recruiter

Requirements

Apache Spark basic and Scala fundamental knowledge is required and SQL Basics along with Machine Learning

Following browsers on Windows, Linux or macOS desktop:

Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)

Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)

*You might see performance degradation for some features on Microsoft Edge and Internet Explorer.

The following browsers are not supported:

Mobile browsers.

Beta, "preview," or otherwise pre-release versions of desktop browsers.

Description

Predicting Customer Response to Bank Direct Telemarketing Campaign Project in Apache Spark Project (Machine Learning) for a bner 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 strats 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.

Launching Spark Cluster

Create a Data Pipeline

A process that data using a Machine Learning model (Spark ML Library)

Hands-on learning

Real- Use Case

Publish the Project on Web to Impress your recruiter

Predicting Customer Response to Bank Direct Telemarketing Campaign Project a Real- Use Case on Apache Spark

About Databricks:

Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.

Who this course is for:

Bner Apache Spark Developer, Bigdata Eeers or Developers, Software Developer, Machine Learning Eeer, Data Scientist



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