Videos
Each project comes with 2-5 hours of micro-videos explaining the solution.
Code & Dataset
Get access to 50+ solved projects with iPython notebooks and datasets.
Project Experience
Add project experience to your Linkedin/Github profiles.
Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
This big data hadoop project aims at being the best possible offline evaluation of a music recommendation system. Any type of algorithm can be used: collaborative filtering, content-based methods, web crawling. By relying on the Million Song Dataset, the data for this big data project is completely open: almost everything is known and possibly available.
What is the task in a few words? You have:
and you must predict the missing half. How much easier can it get?
The most straightforward approach to this task is pure collaborative filtering, but remember that there is a wealth of information available to you through the Million Song Dataset. For Million Song Dataset Download, click this link - labrosa.ee.columbia.edu/millionsong/. Go ahead, explore!
In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
Learn to write a Hadoop Hive Program for real-time querying.