Open nidhivmehta opened 2 weeks ago
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To highlight we dont need different folder or separate file for this analysis do it in the main file.
Is there an existing issue for this?
Feature Description
I want to add a feature that utilizes a RandomForestRegressor model to predict yearly compensation (ConvertedCompYearly) based on features extracted from 'Survey_results_sample_2023.csv' dataset. The features for prediction includes:
YearsCode: Numeric representation of years of coding experience, handling non-numeric values like 'Less than 1 year' and 'More than 50 years'. EdLevel: Categorical feature indicating the highest level of education completed by respondents. Country: Categorical feature denoting the country of residence of the respondents.
Use Case
This predictive model serves as a tool to estimate yearly compensation for developers. This capability is useful for both individual developers and hiring managers who are seeking for insights into salary expectations across different demographics.
Benefits
Community and Industry Relevance
Below, I have attached the output of the input
Priority
High
Record