https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 2 days ago
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Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

• Host: GitHub
• URL: https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
• Owner: shwetapardhi
• Created: 2024-05-06T00:02:47.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-06T00:03:53.000Z (6 months ago)
• Last Synced: 2024-05-07T00:33:47.851Z (6 months ago)
• Topics: correlation-analysis, data-visualization, distplot, eda, feature-engineering, model-building, model-predictions, model-template, numpy, ols-regression, p-value, pandas, python, r-square-values, regression-plot, seaborn, simple-linear-regression, smf, statsmodels, t-score
• Language: Jupyter Notebook
• Homepage:
• Size: 46.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Assignment-04-Simple-Linear-Regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.