Numerical input variables may have a highly skewed or non-standard distribution. This could be caused by outliers in the data,…

Continue Reading# transform

## How to Use Quantile Transforms for Machine Learning

Numerical input variables may have a highly skewed or non-standard distribution. This could be caused by outliers in the data,…

Continue Reading## How to Use Power Transforms for Machine Learning

Last Updated on May 18, 2020Machine learning algorithms like Linear Regression and Gaussian Naive Bayes assume the numerical variables have…

Continue Reading## Mittag-Leffler transform

I keep running into Mittag-Leffler. A couple days ago I wrote about his polynomials. Today I ran across his regularization…

Continue Reading## How to Transform Target Variables for Regression With Scikit-Learn

Data preparation is a big part of applied machine learning. Correctly preparing your training data can mean the difference between…

Continue Reading## What is Wavelet and How We Use It for Data Science

What is Wavelet and How We Use It for Data ScienceMuhammad RyanBlockedUnblockFollowFollowingMay 31source: https://ak6. picdn. net/shutterstock/videos/28682146/thumb/1. jpgHello, this is my second…

Continue Reading## Remaining Life Estimation with Keras

Remaining Life Estimation with KerasFrom Time Series to Images… Asking to a CNN ‘when does the next fault occour?’Marco CerlianiBlockedUnblockFollowFollowingApr 23Predict rare…

Continue Reading## Why Data will Transform Investment Management

Why Data will Transform Investment ManagementShashank PattekarBlockedUnblockFollowFollowingJan 24Some have called it “the new oil. ” But while it bears little…

Continue Reading## Fourier Transformation and Its Mathematics

Here is an example of how the form of the signal changes with the change in sampling rate :Let the original…

Continue Reading