#Machine learning projects : Self learning exercises
#Data source:
https://www.kaggle.com/theworldbank/2017-climate-investment-funds-srep-results-data
#Steps of the Project:
#1. Set up your environment.
#2. Import libraries and modules.
#3. Load red wine data.
#4.Split data into training and test sets.
#5.Declare data preprocessing steps. #6.Declare hyperparameters to tune. #7. Tune model using cross-validation pipeline. #8. Refit on the entire training set. #9. Evaluate model pipeline on test data. #10. Save model for further use. #improvements from other projects: #installinng - Kaggle API using the -pip install command for Kaggle