Skip to main content

Projects

 PROJECTS


Academic engineering students benefit greatly from BTech projects. Projects are carried out using the most up-to-date techniques and technology. There are several different types of projects in B.Tech. We provide advice for a variety of b.tech initiatives, some of which are listed below.

Data mining is a technique for locating Discovery patterns in large datasets. Web mining is a method of filtering material from the internet. Web mining is a data mining approach for discovering and extracting information from Web publications and services automatically.

Computer Vision / Deep Learning / Data mining / Web mining / Image mining / Text mining we support our customers. Mathematical functions mainly occur in Image processing. Security, Pattern Analysis, Bio-informatics, Object character recognition, Machine Intelligence, Remote sensing, Information forensics, and Signal processing are the major research fields in image processing.

Few Sample Programs are here implemented using Python

Data Preprocessing

Comments

Popular posts from this blog

Big Data Analytics Programs

  List of Programs for Big Data Analytics   CLICK ON ME 1.  Implement the following Data structures in Java       a)  Linked Lists            b)   Stacks       c)  Queues     d)   Set            e)   Map 2.  Perform setting up and Installing Hadoop in its three operating modes:      Standalone,     Pseudo distributed,     Fully distributed. 3.  Implement the following file management tasks in Hadoop:    a) Adding files and directories    b) Retrieving files    c) Deleting files 4. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm. 5. Write a Map Reduce program that mines weather data.     Weather sensors collecting data every hour at many locations across the globe gather a large volume of log data, which is a good candidate for analysis with MapReduce since it is semi-structured and record-oriented. 6. Implement Matrix Multiplication with Hadoop Map Reduce 7. Write a MapReduce program to count the occurrence of similar words in a file. Use partitioner to part

How to Install Parrot Operating System in Virtual Box using OVA

Step by Step Process of Parrot OS Installation What is Parrot OS Parrot is a free and open-source Linux system based on Debian that is popular among security researchers, security experts, developers, and privacy-conscious users. It comes with cyber security and digital forensics arsenal that is totally portable. It also includes everything you'll need to make your own apps and protect your online privacy. Parrot is offered in Home and Security Editions, as well as a virtual machine and a Docker image, featuring the KDE and Mate desktop environments. Features of Parrot OS The following are some of the features of Parrot OS that set it apart from other Debian distributions: Tor, Tor chat, I2P, Anonsurf, and Zulu Crypt, which are popular among developers, security researchers, and privacy-conscious individuals, are included as pre-installed development, forensics, and anonymity applications. It has a separate "Forensics Mode" that does not mount any of the system's hard

Word Count Map Reduce program

  Aim: Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm   Program: Source Code import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration;// provides access to configuration parameters import org.apache.hadoop.fs.Path;// Path class names a file or directory in a HDFS import org.apache.hadoop.io.IntWritable;// primtive Writable Wrapper class for integers. import org.apache.hadoop.io.Text;// This class stores text and provides methods to serialize, deserialize, and compare texts at byte level import org.apache.hadoop.mapreduce.Job;//Job class allows the user to configure the job, submit it, control its execution, and query the state //The Hadoop Map-Reduce framework spawns one map task for each InputSplit generated by the InputFormat for the job import org.apache.hadoop.mapreduce.Mapper;//Maps input key/value pairs to a set of intermediate key/value pairs. import org.apache.hadoop.mapred