Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/2416948019759/WN_VT4mYaqaR96iJhak0RjKCw

Time series forecasting plays a crucial role in machine learning, requiring special attention to capture the impact of time-related components such as trends and seasonality. Join us in this immersive workshop where we will delve into the depths of time series analysis and forecasting using Python.

Workshop Curriculum:

Module 1: Introduction to Time Series Analysis
Module 2: Exploratory Data Analysis for Time Series
Module 3: Traditional Time Series Forecasting Models
Module 4: Advanced Time Series Forecasting Models
Module 5: Model Evaluation and Selection
Module 6: Handling Seasonality and Trends

Prerequisites:
* Familiarity with the Jupiter Notebooks interface
* Basic understanding of foundational statistical techniques
* Proficiency in data reading and preprocessing tasks, including data cleaning using Python

Agenda:

10:25 am – 10:30 am Arrival, socializing, and Opening
10:30 am – 12:20 pm Dr. Yasin Ceran, “Mastering Time Series Forecasting with Python A Comprehensive Workshop on Forecast Models and Techniques”
12:20 pm – 12:30 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.

https://us02web.zoom.us/webinar/register/2416948019759/WN_VT4mYaqaR96iJhak0RjKCw

Webinar Passcode 474616