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Added this week in “Big Data”

Big Data Project Data Warehouse Design for E-commerce Environments

Data Warehouse Design for E-commerce Environments

In this hive project, you will design a data warehouse for e-commerce environments.

Big Data Project Movielens dataset analysis using Hive for Movie Recommendations

Movielens dataset analysis using Hive for Movie Recommendations

In this hadoop hive project, you will work on Hive and HQL to analyze movie ratings using MovieLens dataset for better movie recommendation.

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 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.

Added this week in “Data Science”

Data Science Project Perform Time series modelling using Facebook Prophet

Perform Time series modelling using Facebook Prophet

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Data Science Project Zillow’s Home Value Prediction (Zestimate)

Zillow’s Home Value Prediction (Zestimate)

Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

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 Mercari Price Suggestion Challenge Data Science Project

Mercari Price Suggestion Challenge Data Science Project

Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.