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Complete tutorial on time series analysis and time series modeling in R. It explains auto regression, moving average, dickey fuller test, random walk, etc.
Machine learning algorithms explained to a soldier in simple terms including supervised, unsupervised, reinforcement methods with examples
Summarizing data in R is made simple by methods of data summarization like tapply, sqldf, apply to find mean, median and generate useful insights from data
Here's a tutorial to build machine learning model using amazon machine learning which offers easy use, low pricing and various useful features
A beginners tutorial for graphlab. It explains how GraphLab is used for parallel machine learning computation in Python. It also explains GraphLab Create.
A complete tutorial on AzureML to create a predictive model. It explains its uses, features and methods to build machine learning models using AzureML.
A complete tutorial on handling continuous variables using binning, transformation, factor analysis, outliers removal, date time values with R codes.
Here are simple methods to treat categorical variables in a data set and their various levels using label encoding, dummy, one hot encoding
Winners reveal their approaches which includes using Python, R with Deep Learning, GBM, Recommender to build predictive model with least error
A complete coverage of growth of machine learning in year 2015 where companies adapted this technology to improve and develop product & services
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