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This article describes the basics of Logistic regression, the mathematics behind the logistic regression & how to build a logistic regression model in R.
This article shares the top 4 algorithms used to boost up text mining process using R which includes keyword match, word match, word association
With increasing data and need for data science, running R and Python on cloud has become a necessity. This article discusses options to do so.
Learn how to build a predictive model. This article teaches ways to build predictive models by saving time during data modeling, data treatment analysis.
Python and R cheat sheets for machine learning algorithms. It contains codes on data science topics, decision trees, random forest, gradient boost, k means.
Gradient boosting is used for improving prediction accuracy. This tutorial explains the concept of gradient boosting algorithm in r with examples.
This article has the best presentations on slideshare in data science, machine learning, deep learning, neural network and data science.
This article explains using Random Forest, machine learning algorithm in Python and R using a practice problem. and the algorithm behind it
This article explains the use of forward selection techniques in ensemble modeling using R programming with a careful attempt to avoid overfitting
Cheat sheet for creating data visualizations in R - Histogram, Bar Chart, Line chart, box plot, scatter plot, mosaic plot, heat map, correlogram
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