ML Webinar Series (4)-Regression

#IEEE #VNR #CS #SBC #Regression
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On 30th June 2020, Mr. Peddi Anudeep (Asst Prof, Dept of ECE, VNR) gave a lecture on the topic of Regression.


  • Mr. Anudeep started by giving the students a recap of what was already discussed in the previous classes and continued his class by introducing us to regression.
  • He told us what regression was and the different ways it can be used.
  • He went on to explain the concept of Simple Regression and how to calculate it and the mathematics behind it.
  • He explained the concept of Residual Error and Squared Error and how to calculate it.
  • He then explained the concept of Multiple Regression and when it’s used.
  • He helped us understand the importance of using the correct models for a given set of data.
  • He told us what Gradient Descent is and how to use it to minimize error in a model.
  • He explained how to use polynomial regression for Non-Linear data and the concept of Logistic Regression.
  • He explained the definition of terms like Precision, Recall, and Accuracy, and how to calculate them.
  • He explained the different categories of Logistic Regression like Binomial, Multinomial, and Ordinal and how to access Performance.
  • He explained the concepts of Feature Selection and Lasso Regression.
  • In the end, he showed us some of the programs that he had and then opened the lecture to questions.


  Date and Time

  Location

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  • Date: 30 Jun 2020
  • Time: 02:00 PM to 04:00 PM
  • All times are (UTC+05:30) Chennai
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  • Hyderabad, Andhra Pradesh
  • India

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  Speakers

Dr. Peddi Anudeep of VNRVJIET

Topic:

Lecture on Regression

Biography:

Asst. Professor at the Electronics and Communication Engineering Department, VNR VJIET.





Agenda

The goal of the lecture was to introduce the concept of Regression and help the students understand it’s importance in the field of Machine Learning.



About 30 people attended the webinar and it helped the participants understand the concepts of Regression how taught them how to use it.

The lecture was very interactive and helped us a lot.



  Media

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