The model should conform to these assumptions to produce a best Linear Regression fit to the data.Read More
Before I explore the above regression techniques further. Let’s gain an understanding of the assumptions associated with regression techniques.
Using Deep Neural Networks for regression problems might seem like overkill, but for some cases of high dimensional data, they can outperform any other ML models. In this guide, I listed some key tips and tricks learned while using DNN for regression problems.Read More
I was recently looking into how I can train a model in Python/scikit-learn and use it in another platform such as Node. I could not find a tool that works out of the box. So I tried implementing one.Read More