Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Quantifying Performance: Misclassification and F-Measure
Graph Chatbot
Related lectures (32)
Previous
Page 4 of 4
Next
Data Representation: BoW and Imbalanced Data
Covers overfitting, model selection, validation, cross-validation, regularization, kernel regression, and data representation challenges.
Gaussian Naive Bayes & K-NN
Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.