This is an intermediate level script about how to build and evaluate Logistic Regression, Support Vector Machine and K-Nearest Neighbors models on a dirty Income Evaluation data. By checking this script, you can learn how to clean and explore a data, how to implement accuracy score, understand basics of building classification Machine Learning models. Do not be shy to fork and make contribute.
-
Notifications
You must be signed in to change notification settings - Fork 0
d4rthm4ul/ML-Classification-LogReg-SupVecMach-KNN
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
With the help of Logistic Regression, Support Vector Machine and K-Nearest Neighbors models you can predict a person's income that it will be below or above 50K.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published