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https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Last synced: 3 days ago
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Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
- Host: GitHub
- URL: https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
- Owner: shwetapardhi
- Created: 2024-05-06T00:23:52.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-05-06T00:25:19.000Z (6 months ago)
- Last Synced: 2024-05-06T01:31:01.998Z (6 months ago)
- Topics: collinearity-diagnostics, cooks-distance, correlation-analysis, eda, heteroscedasticity, homoscedasticity, leverage-score, multi-linear-regression, numpy, ols-regression, p-value, pair-plot, python, r-square-values, regress-exog, residual-analysis, smf, statsmodels, vif
- Language: Jupyter Notebook
- Homepage:
- Size: 670 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0