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This tutorial helps beginners to get started building machine learning models in R. Learn about machine learning techniques in R with the MLR package.
This tutorial explains data science at the command line with python and R to build models including data visualization, exploration and machine learning.
Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
This article explains merging, joining, sorting, subsetting of data frames, columns, rows using practice in R and Python with various examples
This article explains hadoop distribution file system HDFS) architecture, its components like mapreduce using DMX-h for data integration
A tutorial to configure aws instances to do faster data computation. In this article learn how to build your first model in machine learning with aws.
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
R users struggle while dealing with large data sets. In this article learn about data.table and data. frame packages and handling large datasets in R.
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
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