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Added this week in “Big Data”

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 Design a Hadoop Architecture

Design a Hadoop Architecture

Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.

Big Data Project Airline Dataset Analysis using Hadoop, Hive, Pig and Impala

Airline Dataset Analysis using Hadoop, Hive, Pig and Impala

Hadoop Project- Perform basic big data analysis on airline dataset using big data tools -Pig, Hive and Impala.

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.

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Added this week in “Data Science”

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.

Data Science Project Predict Credit Default | Give Me Some Credit Kaggle

Predict Credit Default | Give Me Some Credit Kaggle

In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Data Science Project Music Recommendation System Project using Python and R

Music Recommendation System Project using Python and R

Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

Data Science Project Choosing the right Time Series Forecasting Methods

Choosing the right Time Series Forecasting Methods

There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

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