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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.
Hadoop Project- Perform basic big data analysis on airline dataset using big data tools -Pig, Hive and Impala.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this big data project, we will continue from a previous hive project "Data engineering on Yelp Datasets using Hadoop tools" and do the entire data processing using spark.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.