Sat., Oct. 19 | Online. Register to get the link

Supervised Machine Learning Hands-on Workshop

Master the topic of Supervised Machine Learning, by participating in a hands-on workshop.
Registration is Closed
Supervised Machine Learning Hands-on Workshop

Time & Location

Oct. 19, 2019, 10:30 a.m. – 1:30 p.m.
Online. Register to get the link

About the Event

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

Registration is Closed

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