SUPERVISED ML- THE DATA TALK


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Whats in this Discussion……………….

  • What is Supervised –
    • You get to know about the basic idea behind Supervised Learning and what you can take as input or how you can understand your data.
  • Continuous Variable Prediction –
    • During this talk, you will get to know how you can identify the continuous variable and use that property of that continuous variable to make a prediction.
  • Categorical Variable Prediction –
    • You will be explained with the idea of identifying a categorical variable, analyze its importance and make its useful sense in the prediction.
  • Confusion Matrix –
    • It is the key term for model analysis and highly used for different important conclusions, F1 Score, Precision, Recall, Accuracy are some of the outcomes that will be summarised using Confusion Matrix.
  • Loss Functions –
    • Loss is always there when you will be working on machine learning models. The idea is that you have to minimize the loss in such a way that there is no underfitting and overfitting in the model.
  • Closing Note –
    • A note over the discussion that how it is an important and overall overview.

ABOUT THE COMMUNITY………………………………………………..

The Data Talk is a Data Science, Machine Learning & Artificial intelligence community where we create a platform for professionals from all across the globe to come and interact with each other at the same platform…..

Brought to you with association of FastestIndia Group

Sasank Amavarapu

(GUEST SPEAKER)

Professional Career

  • Data Scientist –
    • UGRO Capital (Nov. 2020 – Present)
  • Ex-Data Scientist –
    • HDFC BANK (May 2018 – Nov 2020)
  • Data Scientist Intern –
    • American Exp (Oct 2017 – Mar 2018)

Education:

  • IIM Calcutta –
    • Post Graduation Diploma in Business Analytics
  • IISc, Banglore –
    • Bachelor of Science