Data bricks Data Project Showcase

 Data Projects

About Databricks- 

Databricks is a web-based platform for working with Spark, that provided automated cluster management and iPython-style notebooks. Databricks not only does big data analytics but also allows users to build complex ML products at scale. 



Ecommerce Revenue Prediction

  • The project is about an eCommerce company that sells clothes online.
  • The project us about customers who buys clothes online
  • The store offers in-store style and clothing advice sessions
  • Customers come in to the stores, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. We need to predict the future spending of Customer (Revenue) so business strategies can be made to convert Customers to Loyalty Customers

Link: https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/4030488458808487/447019450335715/715525671297766/latest.html


Predicting Customer Response to Brand's Direct Telemarketing Campaign

Direct marketing enables organizations to focus on customers who present the likelihood of subscribing to their products, offers and other packages. Most often than not, identifying these group of customers poses a challenge to brands. In line with the aforementioned, this project considered the typical cases of brand's direct marketing campaign datasets with main objectives. To predict customer response to bank direct marketing by applying two classifiers namely Decision tree and Logistic Regression Model.


Prediction of Online Shopper Purchase Intent




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 time revenue predictors for these shopping websites. In this project, we will start building a revenue predictors for one such websites






Apache Web Server Analytics: 



This project will demonstrate how easy it is to perform web server analysis with Apache Spark. 

Server log analysis is an ideal use case for Spark. It's very large, common data sources and contains rich set of information. Spark allows us to store the logs cheaply while still providing a quick and simple ways to perform data analysis on them. 

This project will showcase how to use Apache Spark on real world text based production logs and fully harness the power of the data.



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