questions/data-science/page/22
This question has many ways to answer, ...READ MORE
You can do this using dplyr and ...READ MORE
Feature selection is based equally upon logic ...READ MORE
You can initially use kmeans, to calculate ...READ MORE
We would start off by loading the ...READ MORE
there is a package called rjava that ...READ MORE
Load the 'scales' package first, which gives ...READ MORE
SQL is a standardized query language for requesting information ...READ MORE
Joining strings in R is quite an ...READ MORE
Validation set can be considered as a part ...READ MORE
You can use aggregate function for calculating ...READ MORE
Technically speaking, yes and no. Yes from ...READ MORE
No, the time to train the random ...READ MORE
Data Science is the practice of: Asking questions (formulating hypothesis), ...READ MORE
These are sequential steps which need to ...READ MORE
Logistic Regression often referred to as the ...READ MORE
You can use factor(ff) to drop levels ...READ MORE
Loading a .csv file in R is ...READ MORE
Suppose your DataFrame is named as df: write.csv(df,file="exmp.csv") Then ...READ MORE
The easiest way that I could suggest ...READ MORE
Use reshape function: reshape(dat1, idvar = "name", timevar = ...READ MORE
With the help of “plotly” we can ...READ MORE
Principal component analysis (PCA) is routinely employed on ...READ MORE
I am assuming that you are a ...READ MORE
If you have small number of variables, ...READ MORE
Broadly speaking these are different components in grammar of ...READ MORE
You can use the "dplyr" package to ...READ MORE
You can use something like this: df$grp.mean.values <- ...READ MORE
All you have to do is, set ...READ MORE
These are some packages in R which ...READ MORE
Nominal data is basically data which can ...READ MORE
You can refer to the following packages ...READ MORE
A distributed environment describes the separation of ...READ MORE
In statistics and machine learning, one of ...READ MORE
R's way of printing a zero length ...READ MORE
Sensitivity is commonly used to validate the ...READ MORE
apply Description: “Returns a vector or array or ...READ MORE
You have to first create an object ...READ MORE
The extent of the missing values is ...READ MORE
Selection bias is the bias introduced by the ...READ MORE
The white noise (WN) model is a ...READ MORE
A random walk is a simple example ...READ MORE
A confusion matrix can be used to ...READ MORE
Clustering is a type of unsupervised learning ...READ MORE
Plotting multiple plots onto a single page ...READ MORE
Just index back into the original data ...READ MORE
Cross-validation is a model validation technique for ...READ MORE
Outlier values can be identified by using ...READ MORE
One line that removes all objects except for functions: rm(list ...READ MORE
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