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COMMUNITY SERVICE PROJECT

  NATIONAL DEGREE COLLEGE::NANDYAL Introduction  Community Service Project is an experiential learning strategy that integrates meaningful community service with instruction, participation, learning and community development  Community Service Project involves students in community development and service activities and applies the experience to personal and academic development.  Community Service Project is meant to link the community with the college for mutual benefit. The community will be benefited with the focused contribution of the college students for the village/ local development. The college finds an opportunity to develop social sensibility and responsibility among students and also emerge as a socially responsible institution CSP HAND BOOK DOWNLOAD IT EVERYONE Guidelines from APSHE SAMPLE CSP PROJECTS done by the Students of National Degree College CHILD LABOUR AGRICULTURE PRODUCTS AND MARKETING USAGE OF MOBILE ONLINE PURCHAGE PLANTATION DIABETES WATER POLUTION U...
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JAVA NOTES FOR ALL

  JAVA NOTES FOR ALL Consider the following important ideas and considerations when dealing with Java: Java is an object-oriented programming language, which means it places a strong emphasis on the idea of objects that encapsulate information and behaviour. Encapsulation, inheritance, and polymorphism are important OOP tenets. Syntax and Organisation: Classes are used as building blocks for objects while writing Java programming. Each class consists of variables (fields) for data storage and functions (methods) for behaviour definition. A main() function is often where Java programmes begin to run. Primitive and reference types are the two basic categories of data types in Java. Integer, double, and boolean types are examples of primitive types, whereas objects, arrays, and strings are examples of reference types. Control Flow: Java has statements for controlling the flow of execution based on conditions, including if-else, switch-case, for loops, while loops, and do-while loops. ...
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DATA MINING AND DATA WAREHOUSE

  DATA MINING AND DATA WAREHOUSE UNIT-1: Data Mining: Data mining is defined as the procedure of extracting information from large sets of data i.e. there is a large of data available in the industry. This data is of no use until it is converted into useful information. It is necessary to analyze this large amount of data and extract useful information. Sometimes referred as  Knowledge Extraction  Knowledge Mining  Pattern Anaysis  Data Archeology Areas of Data mining:  Financial Data Analysis: The financial data in banking and financial industry is generally reliable and of high quality which facilities systematic data analysis and data mining. Some of the typical cases are as follows:  Loan payment prediction and customer credit policy analysis.  Classification and clustering of customers for targeted marketing  Detection of money laundering and other financial crimes  Retail Industry: Data mining in retail industry helps in identifying customer buying items and trends t...
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