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K-Means Clustering From Scratch With Python Workshop Series- 3

May 13 @ 10:00 am - 11:00 am

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_2TCHcFyRQbmZMxr6IaKfrg

You might be asked coding questions to build basic machine learning algorithms from scratch in data science job interviews. These questions will test how well you understand the algorithms in terms of building and implementing ML models without using any libraries but Numpy. In this series of workshops, we will write the code together for Linear Regression, Logistic Regression, KNN, and K-means clustering. It will be a hands-on workshop of four sessions, approximately 40 minutes each.

Linear Regression From Scratch With Python Workshop Series- 1 https://us02web.zoom.us/webinar/register/WN_gLmQI4TGRi6wBdOTtF2ovQ

Logistic Regression From Scratch With Python Workshop Series- 2 https://us02web.zoom.us/webinar/register/WN_deLGVZ4iQlGMKILtRl8-VA

K-Means Clustering From Scratch With Python Workshop Series- 3 https://us02web.zoom.us/webinar/register/WN_2TCHcFyRQbmZMxr6IaKfrg

KNN From Scratch With Python Workshop Series- 4 https://us02web.zoom.us/webinar/register/WN_J1ZBWLAgQreY6OeI4ed-nQ

Agenda:

9:55 am – 10:00 am Arrival, socializing, and Opening 10:00 am – 10:45 am Dr. Yasin Ceran, “K-Means Clustering From Scratch With Python Workshop Series- 3” 10:45 am – 11:00 am Q&A

About Dr. Yasin Ceran:

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data-related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/WN_2TCHcFyRQbmZMxr6IaKfrg

Webinar ID: 843 4318 2345

Details

Date:
May 13
Time:
10:00 am - 11:00 am