Supervised Machine Learning Hands-on Workshop

About this Event

Master the topic of Supervised Machine Learning, by participating in a hands-on workshop.

PreRequisites:

• Working Knowledge of Python
• A basic understanding of statistics, linear algebra, and calculus

Benefits:

• Learn by involving yourself
• Detailed and thorough explanation of concepts with group discussions
• Zero gap in what you learn and what's used in industry
• Workshop conducted by Senior Data Scientist
• Solving Kaggle challenges as your take away
• Affordable pricing, limited number of students, comfortable, convenient schedule

Schedule: Online Webinar

• Saturday, October 19, 2019, 10:30 am - 1:30 pm (EST)
• Sunday, October 20, 2019, 10:30 am - 1:30 pm (EST)

Price: CAD75

Register for the event here

Webinar Link:

You will receive your Zoom Webinar Link upon registration.

Outline:

Introduction to Supervised Learning

• What is Supervised Learning ?
• How does supervised learning work ?
• Supervised vs. Unsupervised Learning
• Supervised Learning Algorithms

Regression And Classification

• Building the right model
• Model Accuracy
• Regression concepts and Examples
• Classification concepts and examples
• Group Discussion on Regression Examples
• Intuitive understanding of optimization methods
• Introduction to loss function and optimization methods ( gradient descent, stochastic gradient descent, batch SGD, momentum, Adam optimizer)

Hands-on Lab

• Environment Setup for Coding in Python
• Understand the Dataset
• Training Data Versus Test Data
• Building the model
• Scaling the Features Using scikit Learn
• Interpreting Results

Register for the event here

Instructor Profile:

Srikanth Gopalakrishnan, Senior Data Scientist