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Gopi Subramanian's blog post was featured

Quantile Regression in Python

In ordinary linear regression, we are estimating the mean of some variable y, conditional on the values of independent variables X. As we proceed to fit the ordinary least square regression model on the data we make a key assumption about the random error term in the linear model. Our assumption is that the error term has a constant variance across the values of independent variable X.What happens when this assumption is no longer true ?Also instead of estimating the mean of our independent…See More
Jun 7, 2017
Gopi Subramanian posted a blog post

Quantile Regression in Python

In ordinary linear regression, we are estimating the mean of some variable y, conditional on the values of independent variables X. As we proceed to fit the ordinary least square regression model on the data we make a key assumption about the random error term in the linear model. Our assumption is that the error term has a constant variance across the values of independent variable X.What happens when this assumption is no longer true ?Also instead of estimating the mean of our independent…See More
Jun 7, 2017
Geetha liked Gopi Subramanian's profile
Jun 7, 2017
Gopi Subramanian's blog post was featured

How to automatically create Base Line Estimators using scikit learn.

For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models. You don’t want to spend a lot of time creating these base line classifiers; you would rather spend that time in building and validating new features for your final model. In this post we will see how we can rapidly create base line classifier using scikit learn package for any dataset.…See More
Jun 6, 2017
Gopi Subramanian posted a blog post

How to automatically create Base Line Estimators using scikit learn.

For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models. You don’t want to spend a lot of time creating these base line classifiers; you would rather spend that time in building and validating new features for your final model. In this post we will see how we can rapidly create base line classifier using scikit learn package for any dataset.…See More
Jun 6, 2017
Gopi Subramanian updated their profile
Jun 6, 2017

Profile Information

Short Bio
Data Scientist with over 17 years of experience in the field of data mining and machine learning. During the past decade, he has worked extensively in the area of Data Mining and Machine Learning solving a variety of business problems; he has designed, , developed, and lead Data Mining, Machine Learning Text Mining, Natural Language Processing, Information Extraction and Search systems projects for diverse business verticals including engineering infrastructure, consumer finance, healthcare, and materials.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/gopi-subramanian-39bba651
Professional Status
Technical
Years of Experience:
17
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Data Scientist
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Networking

Gopi Subramanian's Blog

Quantile Regression in Python

Posted on June 7, 2017 at 9:30am 0 Comments

In ordinary linear regression, we are estimating the mean of some variable y, conditional on the values of independent variables X. As we proceed to fit the ordinary least square regression model on the data we make a key assumption about the random error term in the linear model. Our assumption is that the error term has a constant variance across the values of independent variable X.

  • What happens when this assumption is no longer true ?
  • Also instead…
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How to automatically create Base Line Estimators using scikit learn.

Posted on June 6, 2017 at 9:30am 0 Comments

For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models. You don’t want to spend a lot of time creating these base line classifiers; you would rather spend that time in building and validating new features for your final model. In this post we will see how we can rapidly create base line classifier using scikit learn package for any dataset.…

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