regression Archives

Logistic Regression From Scratch With Python

Machine Learning Modeling regressionposted by Dario Radečić February 10, 2022

Logistic regression is the simplest classification algorithm you’ll ever encounter. It’s similar to the linear regression explored last week, but with a twist. More on that in a bit. Today you’ll get your hands dirty by implementing and tweaking the logistic regression algorithm from scratch. This... Read more

Solving for Unobserved Data in a Regression Model Using a Simple Data Adjustment

Modeling Doordash regressionposted by ODSC Community November 11, 2020

Article originally posted here by Doordash. Making accurate predictions when historical information isn’t fully observable is a central problem in delivery logistics. At DoorDash, we face this problem in the matching between delivery drivers on our platform, who we call Dashers, and orders in real-time. The... Read more

Modeling Regression Trees

Machine Learning Modeling regressionposted by Diego Lopez Yse July 7, 2020

Decision Trees (DTs) are probably one of the most popular Machine Learning algorithms. In my post “The Complete Guide to Decision Trees”, I describe DTs in detail: their real-life applications, different DT types and algorithms, and their pros and cons. I’ve detailed how to program Classification Trees,... Read more

A Survey of Popular Ensemble Methods – Part 1

Machine Learning Modeling bagging boosting Ensemble Models regression stackingposted by Brandon Dey, ODSC March 4, 2020

This article is the first in a four-part series that introduces three popular ensemble methods: bagging, boosting, and stacking. This post threads the concepts and intuition of all three, while the subsequent three posts are a comprehensive dive into each method that will include runnable R... Read more

Using the NGBoost Algorithm

Machine Learning Modeling ngboost regressionposted by Daniel Gutierrez, ODSC January 8, 2020

This post discusses using the NGBoost algorithm. Data scientists competing in Kaggle competitions often come up with winning solutions using ensembles of advanced machine learning algorithms. One particular model that is typically part of such ensembles is Gradient Boosting Machines (GBMs). Gradient boosting is a machine... Read more

3 Regression Pitfalls in Business Applications

Business + Management Modeling Statistics regressionposted by Jacey Heuer October 21, 2019

Regression is a fantastic tool for aiding business decisions. The traditional purpose of a regression model is to find the mean value of a dependent variable given a set of independent variables. In a business, this purpose should be expanded to include the reduction of uncertainty... Read more

Regression Blog 2: We’re Practically Giving These Regressions Away

Modeling Open Source rapids regression XGBoostposted by RAPIDS October 11, 2019

When I heard that they would be releasing Pumpkin Spice Spam, I thought of regression. This might seem like a leap, but bear with me. In the U.S. in the last few years, hearing news reports of unusual Pumpkin Spice flavored products means the unofficial end of... Read more