If you’re interested in the world of machine learning, then you may have come across the terms “bagging” and “boosting”. These two techniques are widely used to improve the accuracy and efficiency of machine learning algorithms. But what do these terms actually mean? In this blog post, we’ll explore bagging and boosting in-depth, discussing their…
When you’re building a model or algorithm, it’s important to conduct multiple iterations and tests in order to make sure that your model is correct. This is typically done by running the model on different sets of data, known as “cross validation.” In this article, we will explore what cross validation is and how you…
K Nearest neighbour (KNN) is one of the most basic classification algorithms. It follows the assumption that similar things exist in close proximity to each other. The K-nearest neighbour algorithm calculates the distance between the various points whose category is known and then selects the shortest distance for the new data point. It is an…
