Big Data Analytics

Implementation of Kernel Support Vector Machine (SVM) in Python

Machine Learning /

Implementation of Kernel Support Vector Machine (SVM) in Python – Machine Learning In this tutorial, we will understand the Implementation of Kernel Support Vector Machine (SVM) in Python – Machine Learning. Importing the libraries To begin the implementation first we will import the necessary libraries like NumPy, and pandas. import numpy as np import pandas […]

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Implementation of K-Nearest Neighbors (K-NN) in Python

Machine Learning /

Implementation of K-Nearest Neighbors (K-NN) in Python – Machine Learning In this tutorial, we will understand the implementation of K-Nearest Neighbors (K-NN) in Python – Machine Learning. Importing the libraries To begin the implementation first we will import the necessary libraries like NumPy, and pandas. import numpy as np import pandas as pd Importing the

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Implementation of Decision Tree in Python

Machine Learning /

Implementation of Decision Tree in Python – Machine Learning In this tutorial, we will understand the Implementation of the Decision Tree classifier in Python – Machine Learning. Importing the libraries To begin the implementation first we will import the necessary libraries like NumPy, matplotlib, and pandas. import numpy as np import matplotlib.pyplot as plt import

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Advantages and Disadvantages of Regression Model

Machine Learning /

Advantages and Disadvantages of Regression Model – Data Mining – Machine Learning In this tutorial, we will understand the Advantages and Disadvantages of the Regression Model. Advantages of Regression Model 1. Regression models are easy to understand as they are built upon basic statistical principles, such as correlation and least-square error. 2. the output of

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Linear Regression Solved Example with One Independent Variable

Machine Learning /

Linear Regression Solved Numerical Example with One Independent Variable In this tutorial, we will understand how to use a regression equation to predict the glucose level given the age. We will consider the following is the data set for understanding the concept of Linear Regression Numerical Example with One Independent Variable. SUBJECT AGE X GLUCOSE

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Name Node Federation Checkpoint Backup and Snapshots

Big Data Analytics /

Name Node Federation, Checkpoint, Backup, and Snapshots in Hadoop Cluster – Big Data Analytics This article discusses basic Hadoop concepts in Big Data Analytics such as, Name Node Federation Checkpoint and Backup Snapshots Video Tutorial 1. Name Node Federation Earlier versions of HDFS (that is Hadoop V 1.0) provides a single namespace for the entire

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Components and Architecture Hadoop Distributed File System (HDFS)

Big Data Analytics /

Components and Architecture Hadoop Distributed File System (HDFS) The design of the Hadoop Distributed File System (HDFS) is based on two types of nodes: a NameNode and multiple DataNodes. No data is actually stored on the NameNode. A single NameNode manages all the metadata needed to store and retrieve the actual data from the DataNodes.

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