Dataset: https://www.kaggle.com/datasets/rkiattisak/salaly-prediction-for-beginer/data
Project Lead: Michelle Reyes
Group Members:
Megan Bee
Michael castillo
Britney Collier
Bijou Raj
Nicholas Hoang
Hanmo Zhang
Gabriel Robles
Johnny Garcia
Goals of the Project:
1.Learn how to implement different algorithms to a model.
2.Learn an outline that is applicable to most machine learning models.
3.Learn how to identify suitable algorithms and seeking the most efficient solutions for the dataset.
Technologies:
Sklearn
Seaborn
Matplotlib
Tensor flow
Pandas
Numpy
The Highest Accuracy:
Random forest.
Most optimal given Accuracy and Program friendliness:
Linear Regression since it is easier to implement, does not cause overfitting, and has an r2 score of 84-89%.
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