Decision Tree 4 Rows
Let’s learn about decision trees with a dataset that has only four rows of generic data, and two […]
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Scrollable Window in Python
This code is from the YouTube video by Ken Jee Beginner Kaggle Data Science Project Walk-Through (Housing Prices) […]
Transpose in Python
To transpose is to rotate information from one row or column to another to change the data layout, […]
Naive Bayes Python Example
Here is an example of Naive Bayes. I created a project using Jupyter Notebook that I called Naive […]
Confusion Matrix
What is a confusion matrix? a confusion matrix is a graphic that shows you your models true and […]
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 […]