Solved end-to-end Data Science and Big Data projects
Get ready to use end-to-end coding 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 50+ solved projects with iPython notebooks and datasets.
Project Experience
Add project experience to your Linkedin/Github profiles.

Added this week in “Big Data”

Big Data Project Hadoop Project for Beginners-SQL Analytics with Hive

Hadoop Project for Beginners-SQL Analytics with Hive

In this hadoop project, learn about the features in Hive that allow us to perform analytical queries over large datasets.

Big Data Project Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark

Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark

Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.

Big Data Project PySpark Tutorial - Learn to use Apache Spark with Python

PySpark Tutorial - Learn to use Apache Spark with Python

PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

Big Data Project Data processing with Spark SQL

Data processing with Spark SQL

In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

Added this week in “Data Science”

Data Science Project Sequence Classification with LSTM RNN in Python with Keras

Sequence Classification with LSTM RNN in Python with Keras

In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

Data Science Project Data Science Project - Instacart Market Basket Analysis

Data Science Project - Instacart Market Basket Analysis

Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Data Science Project Anomaly Detection Using Deep Learning and Autoencoders

Anomaly Detection Using Deep Learning and Autoencoders

Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.

Data Science Project Credit Card Fraud Detection as a Classification Problem

Credit Card Fraud Detection as a Classification Problem

In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.