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.
- Watson Studio
Prerequisites & Required Installations:
- IBM Cloud Account – Login in or Sign up at https://ibm.biz/WebinarClassification
- 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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