Confusion Matrix
What is a confusion matrix? a confusion matrix is a graphic that shows you your models true and […]
Mike
Evaluate Supervised Categorical Models
In the forth of four stages of the PACE Framework of Google, lies the Evaluate stage. The first […]
Class Imbalance in a Dataset
When a dataset has a predictor variable that contains more instances of one outcome than another, we have […]
K-Means Algorithm
K-means is an unsupervised partitioning algorithm. It’s used to organize unlabeled data into groups or clusters. What does […]
Hyperparameter Tuning
A popular and widely used technique to improve model performance after creation is known as hyperparameter tuning. Hyperparameters […]
Decision Tree Python Algorithm
Here’s a brief summary of what we need to do in Python. I’m thinking of Jupyter Notebook. There’s […]
Simple Decision Tree in Python
We have a series of posts that introduces the reader to decision trees. It begins with the post […]
Plot Decision Tree Interpretation
You are modelling a decision tree in Python with the plot_tree function of sklearn.tree. How do you interpret […]
Create a Virtual Machine with VirtualBox
How do you create your first virtual machine in VirtualBox? I’ve downloaded Here, I am using version 7. […]
The Iris Dataset in Python
According to Wikipedia, “The Iris flower data set or Fisher’s Iris data set is a multivariate data set […]
Convert Dictionary to DataFrame
In Python, how do you convert a dictionary to a DataFrame? Let’s create a dictionary. Below is the […]
Data Types in pandas
Are you performing data analysis on a dataset? In other words, are you performing exploratory data analysis (EDA)? […]