Table of content What are evaluation metrics? Confusion Metrics Accuracy,Precision, Recall, R1 Score. What are Evaluation Metrics ? You have built multiple models for your classification task, but how do you decide which one is better? How do you know…
In this article, we are going to understand in-depth and detail about outlier-Statistical and Programming approaches, how to detect and treat outliers so that they won’t screw up the model performance. So read this article till the end, you will…
Whenever machine learning is used for classification or prediction problems, it’s equally important to focus on its evaluation metrics which will let you know, how well your model is performing. In this article, we will discuss how to evaluate the…
To solve the mystery of bias-variance trade off, we need to first understand what is meant by bias and variance in data science. Why it is so important for analysis of machine learning model. Does it create any issue while…
As you know, the literal meaning of regularization is to manage or control things. The machine learning model also demands regularization sometimes. Through this post, you will be able to know about what is regularization in machine learning, why does…
In previous post, we learned to design machine learning model on Azure notebook, how to create workspace on Azure and how to register trained model on cloud. “Part 2: Machine learning model deployment on Microsoft Azure ” is continuation of…
You might have worked on various data processing techniques, machine learning algorithms from understanding the business requirement, building the machine learning model to the model’s validation process. Through this series, we are going to learn how to build an ML…
In the following post, we have explained the class imbalance problem in classification models and techniques to handle class imbalance problems using python. Machine Learning suffers from various issues. Class Imbalance is one of them. But do not worry! We’ll…
Linear Regression is the most frequently used algorithm in data science. In this post, you will get to know all the details of linear regression, how to use it and when to use it. Table of content What does regression…
Today, in this blog, we will be understanding the error metrics used for Classification and Regression. You have a model but you need to make sure that it also performs well. This is where error metrics come into the picture.…
