Workshop: Commodity Prices Prediction with Neural Networks

Date: 20 Feb 2023 (Mon)

Time: 14:30 - 17:00

Venue: Online via MS Teams

Target Audience: All Students

Medium of Instruction: English

Pre-requisite:

• Basic Python programming experience is required
• Interested to know how to deal with time related data predictions

Course Description:

• Understand time series data and real-world examples e.g., weather conditions, IOT, stock / commodity prices, server / clustering monitoring, health monitoring, logs analysis, etc.

• Build a commodity prices prediction model using neural networks

• This course belongs to “Deep Learning Hands-on Applications Series”. With completion of the 8 workshops in “Deep Learning Hands-on Application Series”, you will get an extra certificate of attendance. Click here for details!

Course Outline:

1. What is time series data?
2. Example of time series data
3. Code example of commodity prices prediction

• Data Collection
• Exploratory Data Analysis
• Model Training
• Evaluation of Prediction
• Further Improvements