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Hidden Genius - Machine Learning

Curriculum Overview

This project has two objectives:

  1. introduce students to the Python programming language
  2. introduce the concept of Machine Learning (ML)

The curriculum will be broken down into two separate sessions, the first will cover the basics of the Python language, and walk students through examples within the context of preparing a data set for fitting a ML algorithm. The second and final session will involve a high level overview of Machine Learning principles, and commence with an explaination and tutorial of Linear Regression. More information on Python and Machine Learning can be found in the wiki.

Schedule

Time Event Flow Attendees/Speakers Notes
9:00AM - 10:15AM Travel to 2623 Camino Ramon, walk to 2700 BLD HG staff and students
10:15AM – 11:00 AM Check in, snacks & meet + greet Melanie & Alexis
11:00AM – 11:30AM Speaker 1 – GE overview, diversity etc. Caleb Moore
11:30AM – 12:30PM Break + lunch All
12:30PM – 1:00PM Session 1 – Python/Anaconda Lead: Victor, Staff: Jon & Nick Presentation
1:00PM – 2:30PM Session 2 – Machine Learning Lead: Patrick, Staff: Stanley
2:30PM – 3:00PM Tour Melanie & Alexis
3:00PM Departure HG staff and students

Anaconda Installation

Anaconda is the leading open data science platform for the Python language. It is a high performance distribution of Python and R, that includes over a 100 of the popular data science packages for Python, R, and Scala programming languages. In addition by using conda, a package, dependency, & environment manager; you gain access to another 720 software packages, a one stop shop for all of your data science needs.

Anaconda can be downloaded from here.

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Machine Learning Project for Hidden Genius

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