This category is where the core book content will go (i.e., only related to the table of contents).
In this post I go a bit “meta”, and talk about learning how to learn about predictive modeling. What you focus on while learning makes a significant difference in the outcome and the type of predictive modeler that you will become. The gist of my message is: don’t focus on language, technique, methods, or even […]
Here is some video commentary on the code, the code itself is below the video:
Here is some video commentary on the code, the code itself is below the video:
Bokeh can be installed by following the instructions here. Tips: If, like me, you find that your Anaconda prompt terminal has disappeared from the windows menu, go to “Environments” and then hit the play button (e.g. for Base/Root) and click on Open Terminal The command is conda install bokeh
PyTorch is another great platform (along with TensorFlow) for creating machine learning solutions. The process of installing it is relatively straightforward: Step 1: Make sure you have Anaconda installed. If not, go to: Installing Anaconda Step 2: Install PyTorch: Initiate the Anaconda prompt (search for “Anaconda”, you should see the program as well as “Anaconda […]
Here is some video commentary on the code, the code itself is below the video:
This might seem like an incredibly dull topic, and in some respects it is! However, organizing your work in a sensible folder structure will supercharge your predictive modeling efforts! There are few things in advanced computational modeling work that are simultaneously so simple to do, yet have an supersized effect on the quality of your output. […]
Follow these steps to keep your Anaconda installation up to date: Open Anaconda prompt. Typically you can search for this in windows 10, and then open the console (looks like a DOS prompt) Then you can follow the steps laid out here. The link shows how to update all packages in the current environment, as well as […]
After installing TensorFlow, you can try running the following script that shows the application of neural networks to make predictions for a continuous variable using other numeric & categorical predictors. This script has been downloaded (with minimal modifications) from: TensorFlow site.