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Here is a solution to kaggle competition what's cooking with a step wise explanation of data exploration, text mining, boosting, ensemble model
Complete tutorial on time series analysis and time series modeling in R. It explains auto regression, moving average, dickey fuller test, random walk, etc.
Here's a tutorial to build machine learning model using amazon machine learning which offers easy use, low pricing and various useful features
A complete tutorial on AzureML to create a predictive model. It explains its uses, features and methods to build machine learning models using AzureML.
Here is the tutorial on machine learning using xlminer in excel on multiple linear regression, logistic regression and clustering algorithm
A quick guide to boosting algorithms in machine learning to boost accuracy of predictive models with Adaboost, gradient and xgboost. Read Now!
An introduction to Logistic Regression in R. Logistic Regression is used in binary classification and uses the logit or sigmoid function.Read Now!
Here are best 6 practices to implement text classification model to improve accuracy of a text classifier model using useful set of corpus
Ensemble modeling boost the power of predictive model. This trick to select the right model helps to build accurate machine learning models
This article describes the various statistical measures of descriptive and inferential statistics to draw inferences from titanic data set
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