## Precision, Recall, and F Score Concepts in Details

Developing an efficient machine learning algorithm with a skewed dataset can be tricky. For example, the dataset is about fraudulent activities in the bank or cancer detection. What happens is…

Developing an efficient machine learning algorithm with a skewed dataset can be tricky. For example, the dataset is about fraudulent activities in the bank or cancer detection. What happens is…

This is a trendy topic. Machine learning is the fastest-growing field today. The job market is skyrocketing. More and more universities are coming up with new courses. So many free…

What is K mean clustering? K means clustering is the most popular and widely used unsupervised learning model. It is also called clustering because it works by clustering the data.…

KNN classifier is a very popular and simple machine learning model. Itâ€™s a memory-based supervised machine learning model. What is a supervised learning model? I will explain it in detail.…

The learning curve is very useful to determine if an algorithm is working correctly and to improve the performance of an algorithm. It is useful to determine if an algorithm…

The Neural Network has been developed to mimic a human brain. Though we are not there yet, neural networks are very efficient in machine learning. It was popular in the…

The most basic machine learning algorithm has to be the linear regression algorithm. Nowadays, there are so many advanced machine learning algorithms, libraries, and techniques available that linear regression may…

The Neural Network has been developed to mimic a human brain. Though we are not there yet, neural networks are very efficient in machine learning. It was very popular in…

Logistic regression is a popular method since the last century. It establishes the relationship between a categorical variable and one or more independent variables. This relationship is used in machine…

Logistic regression is a powerful classification tool. It can be applied only if the dependent variable is categorical. There are a few different ways to implement it. Today I will…