Webinar (English): Learn classification algorithms using Python and scikit-learn

April 25, 2020

Interested in Machine Learning? Join us at this webinar where we compare different classification algorithms with a detailed walk-through of each of them with a hands-on experience.


Classification is when the feature to be predicted contains categories of values. Each of these categories is considered as a class into which the predicted value falls and hence has its name, classification.


Classification algorithms which we will discuss:

  • Naive Bayes
  • Logistic regression
  • K-nearest neighbors
  • (Kernel) SVM
  • Decision tree
  • Ensemble learning


In this webinar, we will be using a data set that contains information about customers of an online trading platform to classify whether a given customer’s probability of churn will be high, medium, or low.


Services Used:

  • Watson Studio


Prerequisites & Required Installations:


Agenda:

  • 10:00PM – 10:10PM —> On-boarding and Signups
  • 10:10PM – 10:40PM —> Intro to Machine Learning Algorithms
  • 11:40PM – 12:00AM —> Walk-through & Questions


Register for the live stream here: https://ibm.biz/BdqZzc


Speakers: Sidra Ahmed, Fawaz Siddiqi, Mridul Bhandari


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