Detecting Ouliers
In this context, outliers are data observations that are distant from other observations. There are a number of reasons why variability may exist in the data th...
Category: Data Science
Convert Pandas Categorical Data For SciKit-Learn
As you encounter various data elements you should come across categorical data. Some individuals simply discard this data in their analysis or do not bring it i...
Create a Sparse Matrix
Given enough modeling building, most Data Scientists run into a sparse matrix. Effectively this is simply when most of the elements are zeros. As you will see i...
Transpose a Vector or a Matrix
When working with one-dimensional array’s we use the term vector and a matrix is a term we use for the concept of storing matrices of more than one-dimens...
Make Simulated Data for Regression
Generating simulated data for regression is a helpful technique to know since you may want to create a model, when in fact, it is difficult to obtain the data. ...
Make Simulated Data for Clustering
We will be using Gaussian blobs from SciKit-Learn to generate simulated clusters. View the code on Gist.
Load Boston Housing Data SciKit-Learn
This is a classic dataset for regression models. View the code on Gist.
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...
Loading Features from Dictionaries
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...
Creating Value for Business: 2 Data Science Questions You Must Ask from the Start
Business goals are no doubt important, but in an analytic project it makes sense to balance the organization’s goals with those of the Data Science depart...