Workshop – 3 days Session on Supervised Learning

This intensive three-day online session is designed to provide a comprehensive understanding of Supervised Learning, covering both theory and hands-on coding practice. Participants will explore key machine learning concepts, develop classification models, and evaluate their performance.

By the end of this session, participants will:

• – Understand Supervised Learning fundamentals.
• – Gain hands-on experience with popular classification algorithms.
• – Learn data handling, preprocessing, and visualisation techniques.
• – Learn model evaluation & optimisation for improved accuracy.

Day – 1 : Introduction to Machine Learning & Data Handling

• – Understanding Machine Learning (ML)
• – Data Handling and Preprocessing ( Numpy , Pandas)
• – Data Visualisation (EDA) ( Matplotlib , Seaborn)

Day – 2 Introduction to Supervised Learning | Part – 1

• – Introduction to Supervised Learning
• – Classification Algorithm (Theory and Practice) :
  • – – Support vector machine
  • – – Decision Tree
  • – – Random Forest
  • – – Logistic Regression
• – Model Evaluation Metrics , Confusion Matrix , ROC Curve
• – Exercise

Day – 3 Introduction to Supervised Learning | Part – 2

• – Classification Algorithm (Theory and Practice) :
  • – – K- Nearest Neighbour
  • – – Gradients Boosting
• – Hyper Parameter Tuning and Optimisation
• – Model Evaluation Metrics , Confusion Matrix , ROC Curve
• – Exercise

Session Dates: 13,15,16 February 2025.
SessionTime: 3:30 – 4:30 PM.
Registration Fee: 100 BDT.
Session Platform: Zoom.

Session Will Conducted by: Rownak Borhan, Graduate Student Researcher, NAIST, Japan.

This session is exclusively for students within the age limit of the Bangladesh Artificial Intelligence Olympiad (BdAIO) (school and college students). To join, please fill out the form below.

Registration Link: https://forms.gle/z1Dw39zPpVMiaaDk7

Registration Details: 

• Registration Fee: 100 BDT.
• Seats: 30 (Seats are limited)
• Prerequisites: Basic Python knowledge is required.
• Certificates: No certificates will be provided for this workshop.