Local Chapter project

AI for Climate Change / Continuation (Part 2)

Machine Learning

Start date: July 6, 2022
Finish date: August 3, 2022
Project status: completed

Goal of the project

Model Development: We will train and evaluate the following models at least ANN, SVM, KNeighborsRegressor, GradientBoostingRegressor, ExtraTreesRegressor, RandomForestRegressor, DecisionTreeRegressor, LGBMRegressor, XGBRegressor, LinearRegression, Lasso, Ridge, ElasticNet.
Model Evaluation: R-Squared (R2), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE). The evaluation metric for this project is the Mean Average Error (MAE).
Deployment Build a Dashboard or App.

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What to expect from a Local Chapter project

First project

Welcomes beginners and experienced practitioners.
Focuses on education and collaborative delivery.
Produces open-source project work.

Benefits

Address a significant real-world problem with your skills.
Build your project portfolio.
Demonstrate your work to organizations and project partners.

Requirements

Working English communication.
A learning mindset.
Commitment to collaborative project work.

This challenge is hosted by

Philadelphia, USA Chapter
Phase: 1st challenge COMPLETED