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About
Mr.E.Prabhakar is an Assistant Professor at Department of Computer Science and Engineering, Nandha College of Technology, Erode , India. 7 years of teaching experience and he is a passionate teacher and awakener . Coursera certified in Data Science - Social Media Analytics . DataCamp Certified in o Data Scientist o Data Analyst o R Programmer o Social Media Analytics o Statistics with R Strong knowledge of Aptitude training . Co-Coordinator of NBA and NAAC and lot of experience in NBA and NAAC. Data Analyst and Freelance Writer at Sportskeeda (Tamil & English) . Published 1 6 papers in International Journal and Conferences. Published a Dataset in Kaggle (Dataset: Minimum Income Scheme in India Twitter Data ) Areas of interest include Data Science, Data Mining, Machine Learning, Business Intelligence and Analytics, Statistics, E -Governance and Management. Reviewer in International Journal of Engineering Research & Technology (Registration No.: IJERTREW2905)
Skills & Expertise
R
C
C++
Java
Weka
KEEL
Orange Data Mining Toolbox
TANAGRA
Rattle
CLUTO
Pentaho
Informatica
Tableau
RapidMiner
KNIME
Twitter API
Data Extraction
Data Science
Data Mining
Machine Learning
Big Data Analytics
Business Intelligence
Analytics
Statistics
E-Governance
Management
Class Imbalance Problem
Twitter Sentiment Analysis
Public Opinion Mining
Machine Learning in Institutions
E-Governance in Government and Academic
Research Interests
Teaching
Aptitude
Mentoring
Motivator
Leadership
Management
Connect With Me
Experience
Assistant Professor
- Department of Computer Science and Engineering, Erode, India
Assistant Professor
- Department of Information Technology, Pollachi, Tamil Nadu, India
Data Analyst and Freelance Writer
- (Tamil & English)
Education
Kongu Engineering College
Sasurie College of Engineering
Conferences & Seminars (9)
Multi -Class Imbalance Problem: A Ne w Sampling Method Based on Threshold Value
National Conference on Information Technology, (NCIT 2012)
Boosted Adaboost to Improve the Classification Accuracy
Proceedings of the National Conference on Computer Applications
Threshold Sampling to Improve the Accuracy of Minority Class
Proceedings of NCVIT 12
Modified Class Reweight in Adaboost for Class Imbalance Problems
National Conference on Recent Trends in Information & Communication Engineering
A New Under -Over sampling Method for Imbalanced Data Set
National Conference on Information Processing and Remote Computing ( NCIPRC -14)
Class Reweighted AdaBoost to Improve the Classification Accuracy in Imbalanced Data
Proceedings of the Fourth National Conference on Emerging Trends in Electronics, Instrumentation, Automation and Control (ETEIAC 15)
Sentiment Analysis of Indian Government Schemes
National Conference on Adavnces in Computer Technologies
Sentiment Analysis of US Airline Twitter Data Using Modified Adaboost
National Conference on Recent Trends in Information, Communication and Computing Technology
Credit Card Fraud Detection Using Boosted Stacking
7th National Conference on Networking and Communication Systems
Certificates & Licenses (47)
Intro to SQL for Data Science
Introduction to R Course
Exploring Polling Data
Kaggle R on Machine Learning
Sentiment Analysis in R
Introduction to the Tidyverse Course
Data Visualization with ggplot2 Course
Sentiment Analysis in R: The Tidy Way Course
Importing R
Intermediate R
Cleaning Data in R
Writing Functions in R
Data Manipulation in R with dplyr
Joining Data in R with dplyr
Exploratory Data Analysis
String Manipulation in R with stringr
Object -Oriented Programming in R: S3 and R6
Correlation and Re gression
Foundations of Inference
Machine Learning Toolbox
Unsupervised Learning in R
Text Mining: Bag of Words
Reporting with R Markdown
Supervised Learning in R: Classification
Statistics with R
R Programmer
Data Analyst with R
Data Scientist with R
Twitter Sentiment Analysis
Introduction to Data Science
Wordpress for Be ginner Step by Step
Learn By Example: Statistics and Data Science in R
Training Set, Test Set, R and ggplot
Polynomial Regression, R and ggplot
Learn R for Business Analytics
R Basics R Programming Language Introduction
Learn Power BI
Understanding Data Quality and Reference Data Management
Introduction to R
Big Data and Hadoop Essentials
Introduction to AI for Business
Introduction to Data Analysis for Government
Big Data 101
Data Science 101
Machine Learning with R
Data Science Hands -on with Open Source Tools
Social Media Data Analytics
100% Project Successful Rate
Professional Memberships (2)
Indian Society For Technical Education ISTE
International Association of Engineers IAENG
Publications (7)
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