Solved end-to-end Data Science & Big Data projects
Solved
end-to-end
Data Science & Big Data projects
Get ready to use Data Science and Big Data projects for solving real-world business problems
Videos
Each project comes with 2-5 hours of micro-videos explaining the solution.
Code & Dataset
Get access to 102+ solved projects with iPython notebooks and datasets.
Project Experience
Add project experience to your Linkedin/Github profiles.
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 AWS Project, you will build an end-to-end log analytics solution to collect, ingest and process data. The processed data can be analysed to monitor the health of production systems on AWS.
In this AWS Project, you will learn the best practices for website monitoring using AWS services like Lambda, Aurora MySQL, Amazon Dynamo DB and Kinesis.
In this deep learning project, you will learn to implement Unet++ models for medical image segmentation to detect and classify colorectal polyps.
Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.
Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.