What is the Confusion Matrix in Machine Learning? What is Type 1 and Type 2 Error?

Why do we need the confusion matrix? Well, if you don’t know then let me put it plainly for now. It is one of the techniques about how you can measure the performance of your model. By creating a confusion matrix, you can calculate recall, precision, f-measure, and accuracy as well. It is really simple […]

Difference between Label Encoding and One-Hot Encoding | Pre-processing | Ordinal vs Nominal Data

No matter what programming language you use to write your code logic, machines understand the binary language of 1s and 0s. Similarly, it is easier for machines to deal with IP addresses than hostnames while on the contrary, humans prefer to deal with hostnames. The encoding logic in machine learning is more or less based […]

Types of Machine Learning Systems

Machine Learning Systems can be broadly classified into 3 categories. Let us discuss them in detail. Category 1 Whether or not they are trained with human supervision This category is sub-divided into – Supervised LearningIn a supervised learning method, the training data consists of labels. The target variable is trained using these labels to predict […]