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Machine Learning FAQ

I am not sure if bagging would make much sense for logistic regression – in bagging, we reduce the variance of the deep decision tree models that overfit the training data, which wouldn’t really apply to logistic regression.

Gain Chart | Logistic Regression | Model Monitoring |Model Validation

In this video you will learn what is Gain chart and how is it constructed. You will also learn how to use gain chart in logistic regression for model monitoring ...

Behind the Scenes of Logistic Regression with KNIME

If you want to know the details of the algorithm behind the Logistic Regression Learner node in KNIME Analytics Platform, this is the video for you. It provides a ...

Random Forest - Fun and Easy Machine Learning

Random Forest - Fun and Easy Machine Learning

Boosting

This video is part of the Udacity course "Machine Learning for Trading". Watch the full course at

17. Learning: Boosting

MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: Instructor: Patrick Winston Can multiple weak classifiers be ..

Decision Tree Vs. Linear Regression - Which one is better for data science problems?

Decision Tree and Linear Regression are both supervised learning algorithms. How do you know when to use what? While decision tree is easy to interpret, ...

Decision Tree (CART) - Machine Learning Fun and Easy

Decision Tree (CART) - Machine Learning Fun and Easy

How to use automatic linear modeling | lynda.com tutorial

This SPSS tutorial shows how to use automatic linear models to create a group of predictor variables. Watch more at ...

SMOTE - Synthetic Minority Oversampling Technique

This is part of the AzureML course on Udemy. In this lecture, we cover ..

Blending and Bagging :: Uniform Blending @ Machine Learning Techniques (機器學習技法)