Learn how you can build Big Data Projects
In Ledger alteration, "inventory values are affected" cannot be edited. Why so??What is the use of that option?
Dec 01 2013 12:40 AM
Spark Project -Real-time data collection and Spark Streaming Aggregation
In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.
Design a Hadoop Architecture
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
Hadoop Project-Analysis of Yelp Dataset using Hadoop Hive
The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.
Event Data Analysis using AWS ELK Stack
This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. Tools used include Nifi, PySpark, Elasticsearch, Logstash and Kibana for visualisation.
Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Tough engineering choices with large datasets in Hive Part - 2
This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.
Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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