MachineLearningPartOne-ClimateWins

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:

1. Steps to scale data to make it easier to use in machine learning models.
2. Gradient Descent
3. Multiple Confusion Matrices
4. K-Nearest Neighbor models
5. Decision Tree models
6. Artificial Neural Network models