reckoning.dev # An Overview of Linear Regression Models
machine-learning 6 / 6
16 min read
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data.
/ series/ machinelearning
# Interactive Data Visualization in Python Using Bokeh
machine-learning 5 / 6
11 min read
An interactive charts allows the user to perform actions: zooming, hovering a marker to get a tooltip, choosing a variable to display and more.
# Understanding Boosted Trees Models
machine-learning 4 / 6
Sadanand Singh 27 min read
The Boosted Trees Model is a type of additive model that makes predictions by combining decisions from a sequence of base models. Gradient Boosted Machine (GBM) is one of the most effective machine…
# A Practical Guide to Tree Based Learning Algorithms
machine-learning 3 / 6
25 min read
Tree-based models use a decision tree to represent how different input variables can be used to predict a target value. Machine learning uses tree-based models for both classification and regression…
# Understanding Support Vector Machine via Examples
machine-learning 2 / 6
12 min read
In the last post on SVM, we looked at the mathematical details of the algorithm. In this post, I will be discussing the practical implementations of SVM for classification as well as regression.
# Support Vector Machines
machine-learning 1 / 6
10 min read
In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. In this post, we will go…