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Hands on Machine Learning Workshop for BdAIO

February 22 @ 3:00 pm - 5:00 pm

Hands on Machine Learning Workshop for BdAIO

Are you eager to gain hands-on experience in the world of Machine Learning and Artificial Intelligence? Then this workshop is for you!
This workshop offers a unique opportunity to learn the basics and advanced concepts of Machine Learning through practical sessions. Specifically, we will use the Kaggle platform to solve a real-world problem.

Topics We Will Cover in This Workshop:

  1. Introduction – Overview of classification, real-world applications, and ML pipeline for that.
  2. Understanding the Data – Features, labels, handling missing values, and data cleaning.
  3. Exploratory Data Analysis (EDA) – Visualizations, correlations, and feature importance.
  4. Model Building & Training – Logistic Regression/Decision Tree, overfitting, hyper parameter tuning, performance metrics (Accuracy, Precision, Recall, AUC-ROC).
  5. Hands-on Kaggle Submission – Kaggle competition, preparing & submitting predictions, understanding the leaderboard.
  6. Q&A, tips and tricks to learn from LLMs – Addressing queries, sharing resources, and encouraging participation in AI competitions.

This will be an onsite, hands-on workshop, and only 25 school and college-going students will get the chance to participate.

📅 Date: 22 February 2025 (Saturday)
⏰ Time: 3:00 PM to 5:00 PM
📍 Venue: Institute of Information Technology, University of Dhaka

Mentor

Md. Shaiful Islam Bapin
Top Rated Machine Learning Engineer at Fiverr

Registration Details

  • Registration Fee: 200 BDT.
  • Seats: Max 25 (Seats are limited)
  • Prerequisites: Basic Python knowledge is required.
  • Certificates: No certificates will be provided for this workshop.
  • Registration Link: https://forms.gle/4oM5Egqtc5HWz3uX9

Note: Workshop will be conduct on a computer lab. So registered students no need to bring there own laptop.

Details

Date:
February 22
Time:
3:00 pm - 5:00 pm
Website:
https://forms.gle/4oM5Egqtc5HWz3uX9

Organizer

BdAIO
View Organizer Website