Inspiration
Climate change is affecting all of us and we need to do something to help revert that. One very essential step is the transformation from tradition fossil based energy to renewable energy. So we are interested to know how each state is doing in terms of green energy investment.
What it does
We've built a Random Forest model to make prediction on total green energy investment by state.
How we built it
Using Random Forest
Challenges we ran into
Model selection, deal with categorical data
Accomplishments that we're proud of
Built a model with decent accuracy comparing with other models.
What we learned
data cleaning, hyperparameter tuning, one hot encoding, data visualization
What's next for US States Green Energy Investment Prediction
Continue monitoring green energy development.
Built With
- excel
- google-colab
- numpy
- python
- random-forest
- scikit-learn
- svm

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