Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. In addition, it’s also adapted to many other programming languages, such as Python or SQL.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

Pickl AI

SEPTEMBER 12, 2024

K K-Means Clustering: An unsupervised learning algorithm that partitions data into K distinct clusters based on feature similarity. K-Nearest Neighbors (KNN): A simple, non-parametric classification algorithm that assigns a class to a data point based on the majority class of its K nearest neighbours.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

Trade-off Of Bias And Variance: So, as we know that bias and variance, both are errors in machine learning models, it is very essential that any machine learning model has low variance as well as a low bias so that it can achieve good performance. Another example can be the algorithm of a support vector machine.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52