Inside Learning Machines

bias and variance

Bias and Variance

•
•
Metrics
•
3 Comments

Bias and Variance Introduction Machine learning models are developed primarily to produce good predictions for some desired quantity. What we want is …

mean absolute error

Mean Absolute Error

•
•
Metrics, Regression
•
3 Comments

Mean Absolute Error Introduction With any machine learning project, it is essential to measure the performance of the model. What we need …

Implement the Bootstrap Method in Python

Implement the Bootstrap Method in Python from Scratch

•
•
Metrics
•
2 Comments

Implement the Bootstrap Method in Python from Scratch In this post we will implement the Bootstrap Method, and use it to analyse …

Build a Decision Tree in Python

Build a Decision Tree in Python from Scratch

•
•
Classification, Decision Trees, Regression, Supervised Models
•
7 Comments

Build a Decision Tree in Python from Scratch In this post, we will build a CART Decision Tree model in Python from …

Build a Logistic Regression Classifier in Python

Build a Logistic Regression Classifier in Python from Scratch

•
•
Classification, Supervised Models
•
2 Comments

Build a Logistic Regression Classifier in Python from Scratch For this post, we will build a logistic regression classifier in Python. We …

linear regression algorithm

Implement Linear Regression in Python from Scratch

•
•
Regression, Supervised Models
•
3 Comments

Implement Linear Regression in Python from Scratch For this post, I will implement Linear Regression in Python from scratch. We will start with the …

Facebook Twitter Youtube