data analysis: basic data modeling and evaluation
TRANSCRIPT
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DATA ANALYSISBasic Data Modeling and
Evaluation
Md Main Uddin RonySoftware Engineer, Infolytx, Inc.
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Outlines
What is this? Steps of Data Analysis
Tool’s overview, History It’s offerings Why should we use it?
Download Introduce its interface Building a Model Evaluate the Model
Little Insight Of Data Analysis
Introduction of a Data Analysis Tool
Hands-On of The Tool
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Data AnalysisAnalysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. (From Wikipedia)
❏ Acquiring meaningful insights from dataset
❏ Structuring the findings from survey research or other means of data collection
❏ Break a macro picture into a micro one
❏ Basing critical decisions from findings
❏ Ruling out human bias through proper statistical treatment
❏ Used in industries to allow companies and organization to make better business decisions
❏ Used to determine whether the system in place effectively protect data, operate efficiently and succeed in accomplishing an organization’s goal
And,
Data Analysis and Data Mining are not same!!!!!!
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Steps of Data Analysis
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Rapidminer❏ Most powerful, easy to use and intuitive graphical user interface for the design of analytical processes
❏ Formerly known as YALE (Yet Another Learning Environment)
❏ Developed in 2001 by Ralf Klinkenberg, Ingo Mierswa and Simon Fischer
❏ YALE changed to RapidMiner in 2007
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What RapidMiner can Offer?❏ An integrated environment written in Java for
- machine learning
- data mining
- text mining
- predictive analysis
- business analytics
❏ Provides a GUI to design and execute analytical workflows (Process, Operator)
❏ Provides 99% of an advanced analytical solution through template-based frameworks that speed delivery and
reduce errors
❏ Nearly eliminates the need to write code
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Why Should Use Rapidminer?❏ Powerful due to its learning operators and operator framework
❏ Easy to extend for Java programmers
❏ Stable
❏ Scalable
❏ Algorithms are optimized for speed
❏ Great visualization tools
❏ Available tools for data preprocessing
❏ Better community (http://rapid-i.com/)
❏ Better Debugging
❏ Wide range of supported file format
❏ Hadoop integration easy
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Download RapidMiner❏ Open source
❏ Easy to download and set up
❏ Link: https://rapidminer.com/products/studio/
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RapidMiner Interface
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Building Model Using RapidMiner
1. Importing Data
2. Visualizing Data
3. Creating a Model
4. Applying a Model
5. Evaluation of the Model
Business Understanding Data Understanding
Data Preparation
Modeling
Evaluation
Deployment Data
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QUESTION?
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THANK YOU