Forecasting using Machine Learning Tools Batch – 2

(1 customer review)

Last Date of Registration : 4th June, 2025

SKU: Date: 7th June, 2025 Category:

Profile of the Instructor


Dr. N.Gautam is a Professor in the Department of Electrical Engineering and Computer Science at Syracuse University since January 2022. Prior to that, he was a professor at Texas A&M for 16.5 years, and Penn State for 8 years. In addition, Gautam has been an Amazon Scholar since Fall 2019. His research is about efficiency in operating computer-communication networks, renewable energy systems, real-time logistics, and smart manufacturing. Gautam is a Fellow of the Institute for Industrial and Systems Engineers. He is writing a book on Solar Forecasting. He teaches courses in algorithms, machine learning, probabilistic models, and decision-making under uncertainty.

Module Details

Module Name:

  •  Forecasting using ML tools

Concepts Covered :

  • What is forecasting?
  • What is the scope of the workshop?
  • Metrics for assessing quality.
  • Time-series methods.
  • ML methods.
  • Hybrid methods.
  • Forecasting using given datasets.

Learning Outcomes

  • Proficiency in using ML-based models for forecasting

Assessment

  • Use the given data to make forecasts

Intended Audience and Eligibility

Intended Audience

  • BS/BSc students pursuing online Data Science program
  • Students in other equivalent programs.

Eligibility 

  • Anyone with basic statistics background
  • Working knowledge of Python, and use of Fundamental Machine Learning Techniques.

Session Details and Fee

Mode of the Workshop : Online

Date of the Workshop : 7th June, 2025

Timings:

Session on Saturday: 6.00 pm – 9.00 pm (IST)

Fee structure:

Fee for the workshop : Rs 295 ( 250+18% GST)

Certificate Criteria

Certification criteria will be based on Attendance and performance in coding activities (given as Assessments)

1 review for Forecasting using Machine Learning Tools Batch – 2

  1. Amruta –

    Good content

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