Types of Regression Analysis
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Types of Regression Analysis
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Re: Types of Regression Analysis
#2[deleted]
Re: Types of Regression Analysis
#3Are there any ML APIs or web services that accept a vector and run various regression scenarios to identify optimal fit?
I suppose vectors for both training and testing would be required.
Would gladly pay $1-$5 per batch for a service to do this.
Re: Types of Regression Analysis
#4Are there any ML APIs or web services that accept a vector and run various regression scenarios to identify optimal fit? I suppose vectors for both training and testing would be required. Would gladly pay $1-$5 per batch for a service to do this.
Why wouldn't you just run weka or something locally?
Re: Types of Regression Analysis
#5[deleted]
Re: Types of Regression Analysis
#6> Assumptions of linear regression: There must be a linear relation between independent and dependent variables.
That's not wrong, but it's a strong way to word it. If linear regression were only suitable when the variables were perfectly linearly related, it would get a lot less use. Practically, linear regression can be used when the relationship is linear-ish, at least in the interval of interest. In other words, you can choose to declare linearity as an assumption (and take responsibility for what that choice entails, and for the error it might introduce into your analysis).
Re: Types of Regression Analysis
#7Are there any ML APIs or web services that accept a vector and run various regression scenarios to identify optimal fit? I suppose vectors for both training and testing would be required. Would gladly pay $1-$5 per batch for a service to do this.
I think that's DataRobot's business model, although I think they run more sophisticated models as well. It was 5+ years ago that I spoke to them but IIRC they were able to compete pretty well in Kaggle competitions with a fairly hands-off algorithm.
Re: Types of Regression Analysis
#8Are there any ML APIs or web services that accept a vector and run various regression scenarios to identify optimal fit? I suppose vectors for both training and testing would be required. Would gladly pay $1-$5 per batch for a service to do this.
That's what 90% of data scientists do
Re: Types of Regression Analysis
#9> Assumptions of linear regression: There must be a linear relation between independent and dependent variables. That's not wrong, but it's a strong way to word it. If linear regression were only suitable when the variables were perfectly linearly related, it would get a lot less use. Practically, linear regression can be used when the relationship is linear-ish, at least in the interval of interest. In other words,…
That the linear model is "correct" is only assumption if you're trying to draw probabilistic inferences.
There's nothing stopping you from using it as a "best fit line", even when you have no reason to believe those assumptions. But then it's just a best-fit line. It tells you the direction and magnitude of linear trend, nothing more. That's never wrong in any sense, it's just that sometimes it's not very useful.
Re: Types of Regression Analysis
#10I was hoping one interesting graphic chart per Regression Analysis Type. That didn't happen, and I felt lost at sea. Please, improve the post on such amazing topic.