You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ML-For-Beginners/Classification
Jen Looper d7b61812d2
classification notebooks
4 years ago
..
1-Data classification notebooks 4 years ago
2-Discriminative Challenge typography edit 4 years ago
3-Generative Challenge typography edit 4 years ago
4-Applied Challenge typography edit 4 years ago
data 1st classification notebook 4 years ago
translations renumbering all segments 4 years ago
README.md some edits to web app 4 years ago

README.md

Getting Started with Classification

In this section of the curriculum you will learn about how to classify data using Machine Learning.

Lessons

  1. Visualize your Data and Prepare it for Use
  2. Build a Discriminative Model
  3. Build a Generative Model
  4. Applied ML: Build a Web App

Credits

"Getting Started with Classification" was written with ♥️ by Cassie Breviu