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This article describes how machine learning can be used for understanding customer complaints.It has been explained with the help of examples & codes
Get a detailed introduction to Scala. Obtain hands-on knowledge on Scala using Apache Spark with Black Friday Problem Statement
This article describes how to use Plotly library in R & Python to create beautiful, interactive data visualizations. This includes 3D charts & scatter plots
This article is an introductory guide on implementing machine learning with CARET in R. It includes Data splitting, Pre-processing, Feature selection etc.
Learn how to create dataframes in Pyspark. This tutorial explains dataframe operations in PySpark, dataframe manipulations and its uses.
An introduction to Shiny App and data visualization using this app in R. It contains detailed explanations in UI.R and Server.R along with codes.
Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
In this article we will learn about spark transformations and actions on RDD. These include map, filter, groupby, sample, set, max, min, sum etc on RDDs.
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
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