Class Code
Class Description
Most Technology Training classes will be delivered online until further notice.
Before each sesson, Tech Training will provide a Zoom link for live online classes, along with any required class materials.
This session is intended to help you get started with exploring and analyzing data prior to building Machine Learning models. You will have the opportunity to learn about popular tools used to perform such analysis.
Prerequisite:
Have a basic understanding of the Python language, Pandas library, and an understanding of how to use Jupyter Notebook.
Audience:
This session is designed for anyone who wants to start with machine learning and understand the tools and techniques involved in analyzing and exploring data.
Objectives
Use Pandas library to explore data and have an opportunity to practice with the following:
- Reading data from various file formats such as Comma Separated Values (.csv), JavaScript object notation (.JSON)
- Look for data values missing in the dataset
- Understand the statistics in the dataset
- Replace missing values in the dataset
Training material provided: Yes (Digital format)
Setup
Attendees must install Anaconda software (https://www.anaconda.com/) prior to the class and have a basic understanding of using Jupyter Notebook
