## Creating Simulated Data for Classification

This creates clusters which are normally distributed and assigns an equal number of clusters for each class you choose. Interdependence between features and var...

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# Author: Damian Mingle

## Creating Simulated Data for Classification

## Loading Features from Dictionaries

## A Discriminative Feature Space for Detecting and Recognizing Pathologies of the Vertebral Column

## Math for Machine Learning

## Introduction to Inference and Learning

## R | Data Selection and Manipulation

## R | Variable Information

## R | Variable Conversion

## R | Slicing and Extracting Data

## R | Data Creation

Helping Others with Data.

This creates clusters which are normally distributed and assigns an equal number of clusters for each class you choose. Interdependence between features and var...

This transformer turns lists of mappings (dict-like objects) of feature names to feature values into Numpy arrays or scipy.sparse matrices for use with scikit-l...

ABSTRACT: Each year it has become more and more difficult for healthcare providers to determine if a patient has a pathology related to the vertebral column. Th...

Once you decide to get started with Data Science (in a serious way), the first few months (if not year) can seem pretty difficult. At times, maybe even hopeless...

Many of my subscribers have asked for some resources to help get them on a path for better understanding with regards to inference and learning. As many individ...

This functions below aim to give a bit of background on data and data manipulation in R. which.max(x) returns the index of the greatest element of x which.min(x...

If you want to know a little bit more about the variables you are working with try out these R commands. is.na(x), is.null(x), is.array(x), is.data.frame(x), is...

The “as….” explicitly converts the data to whatever you desired outcome. as.array(x) as.data.frame(x) as.numeric(x) as.logical(x) as.vector(x)...

Indexing Vectors x[n] nth element x[-n] all but the nth element x[1:n] first n elements x[-(1:n)] elements from n+1 to the end x[c(1,4,2)] specific elements x[&...

Ever wonder how to generate data within R? c(…) generic function to combine arguments with the default forming a vector; with recursive=TRUE descends thro...