Rains are essential part of our lives. Weather department tries to forecast when will it rain. So, We tried to predict whether it will rain in Australia tomorrow or not in this project.
In this project, Rain in Tomorrow dataset was used. This dataset contains about 10 years of daily weather observations from numerous Australian weather stations. The target RainTomorrow means: Did it rain the next day? Yes or No. (a binary classification problem).
There are some general library requirements for the Project. The general requirements are as follows.
- Numpy
- Pandas
- Scikit-learn
For Visualization
- Matplotlib
- Seaborn
- Plotly
- Missingno
The library requirements specific to some methods are:
- XGboost Classifier
- Light-GBM Classifier
- CatBoost Classifier
- GradientBoosting Classifier
- Logistic Regression
This dataset contains daily weather observations from numerous Australian weather stations such as Rainfall, Wind and Humidity. The following steps were followed in this project:
- Exploratory data analysis
- Visualization
- Split data into training and test set
- Feature Engineering
- Modelling
- Feature Importance
- Predict results
| Name |
|---|
| Mehmet HALILOGLU |
| Hatice Kubra KUCUKKARTAL |
| Furkan KARAKUZ |