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.
11:45 am - 11:50 am Arrival, socializing, and Opening
11:50 am - 12:50 pm Dr. Yasin Ceran, "Linear Regression From Scratch With Python Workshop Series- 1"
12:50 pm - 1:00 pm 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.
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