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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 tutorial explains using isotonic regression and platt scaling to calibrate predicted probabilities to improve logloss error in data set
This analytics case study is meant to optimize the product price using business and analytics approach. Structured thinking is also required
This article explains merging, joining, sorting, subsetting of data frames, columns, rows using practice in R and Python with various examples
Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
This article explains using dynamic programming technique to solve business analytics case studies using structured thinking in analytics
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.
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