#1: Measuring Classifier Model Performance
- python
- 100daysofpython
- machine learning
See how we can visual test the performance capability of our K-Nearest Neighbors classifier using Scikit Learn.
7 min read
Den Dribbles
A personal blog on all things of interest.
Written by Dennis O'Keeffe
Supervised Learning
Blog series
#2: Regression With Scikit Learn (Part 1)
- python
- 100daysofpython
- machine learning
Continuing with our look into supervised learning, today we explore the basics linear regression by applying it to another Scikit Learn toy dataset.
4 min read
#3: Regression With Scikit Learn (Part 2)
- python
- 100daysofpython
- machine learning
In second blog post on linear regression, we take what we learned in part one and look deeper into the basics of linear regression and applying a train-test-split to our data.
5 min read
#4: Regression With Scikit Learn (Part 3)
- python
- 100daysofpython
- machine learning
In part three, we look at using k-fold cross-validation to prevent dependency on a particular train/test split.
4 min read
#5: Regression With Scikit Learn (Part 4)
- python
- 100daysofpython
- machine learning
In our final coverage of regression using SciKit Learn, we look at how we can use regression with regularization.
5 min read
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