Quantcast
Channel: Codemiles.com Programming Forums - All Topics
Browsing all 36 articles
Browse latest View live
↧

Java enum example

updated article.Statistics : Posted by msi_333 • on Fri Mar 20, 2009 8:17 pm • Replies 1 • Views 145448

View Article


Spearman correlation in R with pie charts

updated.Statistics : Posted by codemiles • on Tue Dec 16, 2014 6:28 am • Replies 1 • Views 8572

View Article


Image may be NSFW.
Clik here to view.

ggplot2 for many boxplots in one figure example

To plot a ggplot2 Boxplot you can take a look at the following snippet.[code=php] require(foreign)require(MASS)require(bootES)library(...Attachments ggplot2_boxplot.jpg [ 39.75 KiB | Viewed 75 times ]...

View Article

Get Difference in days between two dates as a number

The following R script subtracts two dates and get the difference in days. The dates are in the String format. Thus, the R script has to use date format to convert the strings into dates. [code=php]...

View Article

Get Difference in days between two dates as a number

This is right code.Statistics : Posted by msi_333 • on Tue Apr 04, 2017 9:01 pm • Replies 0 • Views 1375

View Article


Java enum example

Excellent topic! Thanks for this post...https://crbtech.in/online-java-training-courseStatistics : Posted by msi_333 • on Fri Mar 20, 2009 8:17 pm • Replies 1 • Views 150021

View Article

Image may be NSFW.
Clik here to view.

Build Linear Regression in Python - Supervised Learning

This example is a good one to start learning applying machine learning in python. If you are new to python and machine learning this example will guide you through simple steps to run your first...

View Article

Naive Bayes Classification (Binary )- Supervised Learning

This example is a good starting point to use the machine learning concept on a classification problem. In the code snippet below, we apply the supervised learning concept with the naive Bayes...

View Article


Random Forest Classification (Binary )- Supervised Learning

On the beast cancer dataset, the code snippet below applies supervised learning of the random forest classifier. The code is divided into seven main steps. The first step is loading the necessary...

View Article


KFold Cross-validation Random Forest Binary Classification

This is a Supervised Learning using the random forest. The distinctive part of this example in contrast to the previous one ( Random Forest Example) is the split of data. In this example, we apply...

View Article

Image may be NSFW.
Clik here to view.

Kmeans Clustering - Unsupervised Learning

In this example, we apply the unsupervised learning concept using the kmeans clustering. We apply the Kmean algorithm on the breast cancer dataset from sklearn. [code2=python]...

View Article

Random Search for tuning classifier parameters

This example illustrates the impact of applying parameter optimization on the performance of supervised learning such as a random forest. [code2=python] #https://jupyter.org/try#Demo6#M. S. Rakha,...

View Article

Feature selection: Statistical and Recursive examples

This example illustrates Feature selection using techniques. The first technique is Univariate Selection which a statistical test is applied to the features and dependent variable (class). The second...

View Article


Image may be NSFW.
Clik here to view.

Get the important variables of random forest classifier

This example illustrates the extra analysis that random forest can provide for data scientists. In a random forest, we can rank the important features based on the error caused by dropping any of...

View Article

Feature selection: Statistical and Recursive examples

What is statistical feature selection?Statistical-based feature selection methods involve evaluating the relationship between each input variable and the target variable using statistics and selecting...

View Article


Feature selection: Statistical and Recursive examples

What is recursive feature selection?Image result for Feature selection: Statistical and Recursive examplesRecursive feature elimination (RFE) is a feature selection method that fits a model and removes...

View Article
Browsing all 36 articles
Browse latest View live