Top 10 evaluation metrics for classification models
Sam has built a classification model to predict whether the person has a heart attack or not. Now he wants to evaluate the performance of his model. There are a…
Lasso Regression in R
Regularization in terms of machine learning is a very important factor that is used for avoiding the overfitting of data which occurs when the training data and the testing data…
Ridge Regression in r
Regularization is a process in machine learning which is applied to control the overfitting of the data, and this overfitting occurs when the training dataset and the testing dataset vary…
Polynomial regression in R
In this article, we'll explore how polynomial regression can enhance our machine learning projects in R. While linear regression is a staple in machine learning, there are situations where polynomial…
How to become Data Engineer in 2022
We analyze over 1000 job profiles on LinkedIn to understand the skills required to become data engineers. In this blog, we sum up all the major skills and certifications required…