Decision Tree plots in R

In This Blog we will be discovering pattern through Decision Tree Plots ( in R ). The Data set we'll be using is Titanic Data Set. The data can be downloaded  from:  HERE
or directly can import this link through R or same can be download from Kaggle.

Download the report in HTML format from this link: HERE
Also .rmd file can be downloaded from : HERE

Comments

Post a Comment

Popular posts from this blog

Login into Gmail Account Using Web Driver

Image
PRACTICAL 7: Login into Gmail Account Using Web Driver In the previous post, we had discussed about the installation of Java, and configuration of Eclipse with selenium WebDriver. Now here, we will be creating a small Java script in which we will be doing automated login and logout of Gmail Account. We will be following steps: - 1.       Importing all the essential libraries. 2.       Initialize Chrome Driver 3.       Open Gmail using get( ) function 4.       Find Placeholder Element using findElement( ) function 5.       Send keys to placeholder using sendkeys( ) function 6.       Repeat the steps 4&5 for entering password 7.       Press Submit Button
Read more

Tutorial 4

Image
Question 1 - What is Apache spark? why spark has come into existence? brief architecture of Apache                              Spark Answer 1 -  Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing. The main feature of Spark is its  in-memory cluster computing  that increases the processing speed of an application. Major issues with  Apache Hadoop . 1. Issue with Small Files 2. It has Slow Processing Speed 3. Only support for Batch Processing only 4. There is no support for Real-time Data Processing To overcome all these issues, Apache Spark comes into the picture . one more reason behind Evolution of Apache Spark is that there were many general purpose computin...
Read more

Case study of Library Management System

Image
                PRACTICAL 9: Case study of Library Management System EXISTING SYSTEM ·          Existing Management system is not computerized. It takes a lot of time and effort to search book manually and issue them. ·          Files and ticket can be destroyed by human error or can be misplaced or can be lost by human error. ·          Space is consumed for document / receipt. ·          Unavailability of books on high Demand. ·          Student’s issue history if difficult to track. ·          Manual Cash collection of fine payment. PROPOSED SYSTEM ·          Record are easy to maintain using computerized system. ·      ...
Read more