|
This video is from the Cool Farm Toool
Publisher
Digital Education Unit Licence Type
All rights reserved The University of Edinburgh Language
English Date Created
April 21st, 2021
|
|
Feature engineering with recipes and fitting models with workflows
Course Code
MATH08077 Licence Type
Creative Commons - Attribution Non Commercial Share A Like
|
|
Making predictions based on models and splitting data into training and testing sets to avoid overfitting
Course Code
MATH08077 Licence Type
Creative Commons - Attribution Non Commercial Share A Like
|
|
Predicting binary outcomes with logistic regression
Course Code
MATH08077 Licence Type
Creative Commons - Attribution Non Commercial Share A Like
|
|
In this video, we introduce the simplest classifier: the K-Nearest Neighbours classifier. This classifier has no trainable parameters, and classifies test points by finding its closest training…
|
|
Here, we explain what is meant by a (binary) classifier. It is a black box that takes in some data and predicts whether it belongs to one of two possible classes. We also describe how we can split…
|
|
Receiver Operating Characteristic (ROC) Curve
Licence Type
Creative Commons - Attribution
|
|
Classification Error and Accuracy
Licence Type
Creative Commons - Attribution
|
|
False Positives and False Negatives
Licence Type
Creative Commons - Attribution
|
|
Generalization Error
Licence Type
Creative Commons - Attribution
|
|
Naive Bayes for Spam Detection
Licence Type
Creative Commons - Attribution
|
|
The Zero-Frequency Problem
Licence Type
Creative Commons - Attribution
|
|
Bayesian Classification
Licence Type
Creative Commons - Attribution
|
|
Supervised vs Unsupervised Learning
Licence Type
Creative Commons - Attribution
|
|
Representing Text with Categorical Attributes
Licence Type
Creative Commons - Attribution
|
|
Joint Distributions
Licence Type
Creative Commons - Attribution
|