Skip to content

In this project, I will be using the dataset called "WEATHER PREDICTION" that I found on Kaggle. There will be 2 parts in this article, the first is pre-processing and analyzing the weather data and the second part is building a prediction model with a decision tree and random forest.

Notifications You must be signed in to change notification settings

aungkaungpyaepaing/Weather_prediction_Decision_Tree_Random_Forest

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

In this project, I will be using the dataset called "WEATHER PREDICTION" that I found on Kaggle. There will be 2 parts in this article, the first is pre-processing and analyzing the weather data and the second part is building a prediction model with a decision tree and random forest.

There are different stages called -

  • Data Pre-processing
  • Analysis
  • Model Training (Decision Tree and Random Forest)
  • Model Evaluation
  • Accuracy Comparison
  • Data Preprocessing

    image

    Analysis

    image image

    Correlation Matrix of Weather Variables

    image

    Model Training

    Decision Tree

    image

    Random Forest

    image

    Model Evalutation

    image image

    Model Comparison

    image

    About

    In this project, I will be using the dataset called "WEATHER PREDICTION" that I found on Kaggle. There will be 2 parts in this article, the first is pre-processing and analyzing the weather data and the second part is building a prediction model with a decision tree and random forest.

    Resources

    Stars

    Watchers

    Forks

    Releases

    No releases published

    Packages

    No packages published