Using machine learning to help predict the consequences of climate change for fictional company ClimateWins based in Europe.
This is a project designed to challenge the junior data analyst by introducing machine learning skills in Python. The project mimics a fictional nonprofit organization (CliamteWins) with limited funding that does not have a data scientist or data engineer team. This challenge guides the analysts as a trainee, data scientist and researcher all at once to achieve ClimateWins goals. This project contains supervised learning models including:
- Steps to scale data to make it easier to use in machine learning models.
- Gradient Descent
- Multiple Confusion Matrices
- K-Nearest Neighbor models
- Decision Tree models
- Artificial Neural Network models