Spark Real- prediction of online shoppers' purchasing intention Project using Apache Spark Machine Learning Models

In this Spark Project course you will implement Predicting online shopper purchase intention 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

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.

Real- Prediction of online shoppers' purchasing intention Project using Apache Spark Machine Learning Models a Data Pipeline Creation.

What is this course about?

This course covers all the fundamentals about Apache Spark Machine Learning Project with Scala and teaches you everything you need to know about developing Spark Machine Learning applications using Scala, the Machine Learning Library API for Spark. At the end of this course, you will gain in-depth knowledge about Spark Machine Learning and general big data manipulation skills to help your company to adapt Spark Machine Learning for building Machine Learning Model processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today.

Project Details:

Once a user logs into an online shopping website, knowing whether the person will make a purchase or not holds a massive economical value. A lot of current research is focused on real- revenue predictors for these shopping websites. In this article, we will start building a revenue predictor for one such website.

In this Data Science Machine Learning project, we will create a Real- prediction of online shoppers' purchasing intention Project using Apache Spark Machine Learning Models using Logistic Regression, one of the predictive models a data pipeline project

Implementing Apache Spark and Machine Learning on the Databricks platform.

Creating a Spark Cluster

Make a Data Pipeline

A cycle that information utilizing a Machine Learning model (Spark ML Library)

Hands-on learning

Ongoing Use Case

Distribute the Project on Web to Impress Employer.

Prediction of Online Shoppers' Purchasing Intention 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.

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



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