Rain Prediction Machine Learning Project Using Decision Trees and Random Forest 👇

🛠️ Tools Used: Python based Machine Learning Model to predict next-day rain by training classification models on the target variable RainTomorrow.

👩🏻‍💻 Work Process:

1. Importing the preprocessed datasets for training, validation, and testing, where the following data preparation steps have been performed: || Splitting a dataset into training, validation & test sets || Filling/imputing missing values in numeric columns || Scaling numeric features to a (0,1) range || Encoding categorical columns as one-hot vectors
2. Training and interpreting decision trees
3. Training and interpreting random forests
4. Overfitting & hyperparameter tuning
5. Making predictions on single inputs
6. Saving a model to disk