Decision tree classification in R
Decision trees are one of the most basic and widely used machine learning algorithms, which fall under supervised machine learning techniques. Decision trees can handle both regression and classification tasks,…
Understanding MapReduce in a simple manner
In today's world, we are storing minute-to-minute data as we know data is the currency of the next world. If we have a massive amount of data available in a…
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…