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Added this week in “Big Data & Hadoop”

Mine Github Social Profile by building a Spark GraphX Algorithm and a Network Crawler

In this project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.
$15  $9

Build a data pipeline based on messaging using Spark and Hive

In this project, we will simulate a simple real-world batch data pipeline based on messaging using Spark and Hive.
$15  $9

Building end-to-end data warehousing pipeline with Kafka

In this project, we will see how data ingestion and loading is done with Kafka connect APIs while transformation will be done with Kafka Streaming API.
Best Seller $15  $9

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

In this hackerday, we will look at the various types of SCDs and how to implements SCDs in Hive and Spark.
$15  $9

Added this week in “Data Science”

Train a Neural Network to Classify Loan Applications using Decision Trees

In this project, we are going to work on a German credit dataset project using classification techniques like Decision Tree, Neural Networks etc to Classify Loan Applications using R.
$15  $9

Forecast Customer Churn by building a Neural Network in R using Keras

In this project, we are going to predict customer churn using Artificial Neural networks and Deep Learning and show you how to model an ANN in R with the keras package.
$25  $19

Classify Fitness Band Activities using Kera Deep Learning and Adaboost in Python/R

In this project, we are going to build a classification system where we can recognize human fitness activities.
$15  $9

Predict Churn for a Telecom Company using Logistic Regression Classification in Python & R

In this project, we are going to predict the churn customer of telecom sector and find out the key drivers that lead to churn. We are going to show how the logistic regression model using R can be used to identify the customer churn in telecome dataset.
$15  $9
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