Introduction to Machine Learning

  • 40 hours of instructor-led Hackathon including 10 hours of presentations and demos
  • Hands-on learning of Python programming, development, testing and deployment
  • Learn main features of the latest version of Python
  • Follow-ups are included
40 Hours of hands-on training18 Challenges5 End-to-end projects

Main Objectives

Overview of ML
Main concepts of shallow and deep learning
Decision Tree
Information gain and how to build a decision tree with and without ML
Random Forest
Why it is needed and how to use it
Regression and Clustering
How to use Scikit-Learn
Deep Learning
Use Neural Networks with TensorFlow
Deploy and error handling
Deploy your ML models and learn best practices.

Duration

Number of days varies

Requirements

  • Knowledge of Python including Pandas, Numpy
  • Basic knowledge of Statistics.

If you are not familiar with the technologies above take Python Basic, Python for Data Science and Data Exploration and Stats hackathons or contact us to get a customized Machine Learning hackathon

Topics Covered

  • Overview of Machine Learning
  • Supervised vs Unsupervised Learning
  • Types of Models
  • Overfitting vs Underfitting
  • Overview of Decision Trees
  • Information Gain
  • Impurity Function
  • Random Forest
  • Gradient Descent
  • Linear Regression
  • Regularization
  • Math behind it
  • K-Means
  • Neural Networks

Why Our Hackathon?

Get Hands-on Skills

1/3 of the time is spent on lectures
2/3 is spent practicing!

Get Help

Several helpers are ready to assist anyone who is stuck at a challenge, not sure where to start or has other questions . The head instructor provides guidance to the participants, explains the main concepts.

Online or In-Person

We run both online and in-person hackathons. The material doesn’t change, the challenges are the same. We can adjust the hours for the online hackathon to make sure that everyone is actively engaged.

Learn more about how we’re different

Multiple Locations

We run hackathons in Canada, US and Mexico. Recent locations:

Canada

  • Toronto
  • Montreal
  • Vancouver
  • Calgary

US

  • New York
  • Washington
  • Houston
  • Salt Lake City

Certificate

Every participant gets a verifiable certificate at the end of the hackathon.

Follow-Ups

One follow-up for every day of hackathon is included. It will help you with setting up best practices in the team and refreshing your knowledge. We will also answer any of your questions.

Hackathon Schedule

Hackathon is a full day event. It runs from 8:30 to 5 with a break for lunch. Usually 1 to 2:30 hours is spent on lectures, the rest of the day is devoted to challenges.

No Installation Required

Challenges are done using our environment. Participants only need a computer with a browser.

Other Hackathons

Please check available hackathons page