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Pradeep Menon's blog post was featured

Data Science Simplified Part 7: Log-Log Regression Models

In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right model.Fernando has now created a better model.price = -55089.98 + 87.34 engineSize + 60.93 horse power + 770.42 widthFernando contemplates the following:How can I estimate the price changes using a common unit of comparison?How elastic is the price with respect to engine size, horse power, and width?In this article will address…See More
13 hours ago
Pradeep Menon posted a blog post

Data Science Simplified Part 7: Log-Log Regression Models

In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right model.Fernando has now created a better model.price = -55089.98 + 87.34 engineSize + 60.93 horse power + 770.42 widthFernando contemplates the following:How can I estimate the price changes using a common unit of comparison?How elastic is the price with respect to engine size, horse power, and width?In this article will address…See More
13 hours ago
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Pradeep Menon's blog post was featured

Data Science Simplified Part 6: Model Selection Methods

In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car based on five input parameters.Fernando indeed has a better model. Yet, he wanted to select the best set of variables for input.This article will elaborate on model selection methodsConceptThe idea of model selection method is intuitive. It answers the following question:How to select the right input variables for an optimal model?How is an…See More
Friday
Pradeep Menon posted a blog post

Data Science Simplified Part 6: Model Selection Methods

In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car based on five input parameters.Fernando indeed has a better model. Yet, he wanted to select the best set of variables for input.This article will elaborate on model selection methodsConceptThe idea of model selection method is intuitive. It answers the following question:How to select the right input variables for an optimal model?How is an…See More
Friday
""It is an art. It is a science" best summary of the analytics field. I learned on a recent consulting project the limits of a regression analysis and the value of the inference component. The regression analysis missed government…"
Aug 10
Pradeep Menon's 4 blog posts were featured
Aug 9
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Profile Information

Short Bio
Pradeep is an experienced Data Science and Business Analytics professional with 15+ years of cross industry experience. He has a proven track record of successfully helping organizations to transform through the application of business analytics. He has executive-level interpersonal skills, hands-on technical expertise and the ability to cross-pollinate complex concepts across multiple industries and scenarios.

Currently, Pradeep is working with Microsoft Singapore as a Cloud Solution Architect (CSA) - Advanced Analytics and AI. As a CSA, he is responsible for ensuring customer success. He strives to help the customers realize business value from their data assets by using Big Data, Machine Learning and Artificial Intelligence.
My Web Site Or LinkedIn Profile
http://https://datascientia.wordpress.com/
Field of Expertise
Analytics, Data Integration, Visualization, BI, Data Science
Professional Status
Technical
Years of Experience:
15
Microsoft
Industry:
IT
Cloud Solution Architect - Advanced Analytics and AI
How did you find out about DataScienceCentral?
Interests:
Networking, Other

Data Science Simplified Part 7: Log-Log Regression Models

Posted on August 16, 2017 at 3:00am

In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right model.

Fernando has now created a better model.…

Continue

Data Science Simplified Part 6: Model Selection Methods

Posted on August 9, 2017 at 4:00pm

In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car based on five input parameters.…

Continue

Data Science Simplified Part 2: Key Concepts of Statistical Learning

Posted on August 6, 2017 at 5:35am

In the first article of this series, I had touched upon key concepts and processes of Data Science. In this article, I will dive in a bit deeper. First, I will define what is Statistical learning. Then, we will dive into key concepts in Statistical learning. Believe me; it is…

Continue

Data Science Simplified Part 5: Multivariate Regression Models

Posted on August 6, 2017 at 5:30am

In the last article of this series, we discussed the story of Fernando. A data scientist who wants to buy a car. He uses Simple Linear Regression model to estimate the price of the car.…

Continue

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