#Predicting Video games sales In this work the data is converted from categorical data into a numeric. Tis step is important since sklearn models doesn't accept the categorical data. Some of the features ahs been removed due to its irrelevancy. For example, year, name and rank. Creating a linear regression model based on the first 3 features. As it appear in the datawrangling notebook. The model couldn't generated good predictions. Then the model was fed with more feautres as in the "Trials" notebook, this model has improved to generat upto 96% accuacy.
-
Notifications
You must be signed in to change notification settings - Fork 1
farisology/VideoGameSales
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Predicting Video games sales
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published