This is Day 32 of the #100DaysOfPython challenge.
This post will demonstrate how to use regression with regularization using scikit-learn.
We will be working from the code written in part three.
Source code can be found on my GitHub repo okeeffed/regression-with-scikit-learn-part-four.
Prerequisites
- Familiarity Conda package, dependency and virtual environment manager. A…
This is Day 31 of the #100DaysOfPython challenge.
This post will use the scikit-learn library to demonstrate how we can use k-fold cross validation.
We will be working from the code written in part two.
Source code can be found on my GitHub repo okeeffed/regression-with-scikit-learn-part-three.
Prerequisites
- Familiarity Conda package, dependency and…
This is Day 30 of the #100DaysOfPython challenge.
This post will continue on from part one and break down the basics of linear regression and also explain how we can take the work that we did and expand upon that to apply a train-test split to our dataset.
This is Day 29 of the #100DaysOfPython challenge.
This post will look into how we can create a linear regressor to make predictions about continuous target variables.
Source code can be found on my GitHub repo okeeffed/regression-with-scikit-learn.
Prerequisites
- Familiarity Conda package, dependency and virtual environment manager. A handy additional reference for…
import { K8sControlPlaneQuiz } from “@quiz/index”;
This post will recap some of the basics of Kubernetes to lay the foundations for upcoming posts.
The recap will include:
- What does the Control Plane comprise of?
- What is within a Node?
- What is a Pod?
- What is a Deployment
- What is a…
This is Day 28 of the #100DaysOfPython challenge.
This post will take the work that was done yesterday in the blog post “First Look At Supervised Learning With Classification” and introduce the concept of training/test sets and output a graph for us to interpret the accuracy of the k-nearest neighbors…
This is Day 27 of the #100DaysOfPython challenge.
This post will look at setting up our template repository for scikit-learn with Miniconda (a minimal installer for conda).
We will do this by using the scikit-learn package to create a GitHub template repository for our Machine Learning projects.
This is Day 25 of the #100DaysOfPython challenge.
This post will use the OpenCV Python library to apply an oil painting effect to an image.
Prerequisites
Getting started
Let’s create the oil-paint-effect-with-open-cv-python directory and install…
