🎯 Learning Outcomes: On completion of this course unit, the student should be able to:
- Understand the concepts of supervised and unsupervised learning.
- Apply machine learning techniques to recognize patterns in data.
- Demonstrate practical examples that use machine learning techniques.
🌐 Learn Online: Via Zoom
📝 Who Should Attend? TIndividuals with a preliminary background in programming (in any language) who want to
transition or expand their skills into machine learning using Python.
transition or expand their skills into machine learning using Python.
Prerequisite:
- Familiarity with basic statistical concepts.
- Familiarity with the Zoom platform for communication and collaboration.
- Ability to follow instructions and download required software tools and datasets independently.
🚀 Highlights:
Day 1: Introduction to Machine Learning and Python Setup
Day 2: Data Preprocessing
Day 3: Regression Models
Day 4: Classification Models
Day 5: Model Tuning and Selection
Day 6: Unsupervised Learning
Day 3: Regression Models
Day 4: Classification Models
Day 5: Model Tuning and Selection
Day 6: Unsupervised Learning
📅 Workshop Dates: 7th,8th,9th,14th,15th &16th October 2024
🕒 Time: 6.00pm – 8.00pm
Resource person: Dr. I. U. Hewapathirana, Senior Lecturer, Faculty of Science, University of Kelaniya.
Course Fee: LKR. 10,000/ (Payment should be made on or before 6th October 2024.)
Payment details:
Account No: 086100130008638
Account Name: Institute of Applied Statistics, Sri Lanka
Bank & Branch: People’s Bank, Thimbirigasyaya.
or
Account No: 003460001586
Account Name: Institute of Applied Statistics, Sri Lanka.
Bank & Branch: Sampath Bank, Thimbirigasyaya.
Limited Seats Available! Reserve Your Spot Now!