How to read different types of files in Hadoop MapReduce
In Hadoop, we can read different types of files using map-reduce. As different files have different types of formats. We can’t read all in the same manner. So, we will…
How to calculate Median and Standard deviation using MapReduce
MapReduce is a programming model used to perform data analysis on large amounts of data in a scalable manner without any data loss. We can perform many different types of…
How to find an inverted index of the sample using MapReduce
MapReduce is a programming model used to perform a different type of analysis on a large amount of data. Here we are using MapReduce to generate an inverted index on…
How to find distinct set of elements using MapReduce
How to find a distinct set of elements using MapReduce
MapReduce is a programming model used to perform a different type of analysis on a large amount of data. Today we will see how we can find a distinct list…
How to find top N elements using MapReduce.
MapReduce is a programming approach that allows a cluster of commodity hardware devices to handle enormous amounts of data. We will understand how MapReduce is working by implementing to find…
Understanding Counter in MapReduce along with code
In this blog, we will learn about the Counter concepts in MapReduce. Here we will talk about types of Counters and their implementation in the Java programming language. What is…
Decision tree classification in R
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 is a crucial concept in machine learning used to prevent overfitting, which happens when a model performs well on the training data but poorly on unseen or testing data…