Session Description:

A short session indented to get started with Classification Algorithm to classify structured data and make predictions.Get Hands-on experience and also work on Real-Time Applications.

Setup:

Because this is an abbreviated session, attendees MUST install Anaconda software https://www.anaconda.com/ and have a basic understanding of using Jupyter Notebook.”

Course Code/Duration:

BDT76 / 90 Minutes

Learning Objectives:

Learn about different libraries involved in saving and using a machine learning model. In the hands-on session we will look at the following:

• Understand the concept of classification in machine learning and its real-world applications.
• Identify and differentiate between key classification algorithms: Logistic Regression, Decision Trees, SVM, k-NN.
• Build a hands-on classification model using one of the algorithms.
• Evaluate model performance using essential classification metrics like accuracy, precision, and recall.
• Acquire practical skills to confidently apply classification techniques to real datasets.