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[Feature Request]: Job Satisfaction Prediction ( EDA , data preprocessing & Machine Learning )over survey_results_public_2018) #293

@ranamanish674zu

Description

@ranamanish674zu

Is there an existing issue for this?

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Feature Description

Target Variable: JobSatisfaction or CareerSatisfaction.
Predictors: Variables like Employment, YearsCodingProf, FormalEducation, CompanySize, DevType, etc.
Objective: Predict levels of job satisfaction based on personal and professional attributes.

Use Case

Predicting job satisfaction using variables such as Employment, YearsCodingProf, FormalEducation, CompanySize, and DevType can help organizations better understand the factors contributing to employee happiness and retention. By identifying key predictors of job satisfaction, companies can tailor their policies, work environments, and professional development programs to enhance employee well-being. This predictive analysis can aid in reducing turnover rates, improving job performance, and fostering a positive workplace culture. Additionally, it can guide recruitment strategies by highlighting attributes that align with higher satisfaction levels. Ultimately, this insight helps organizations create more fulfilling and productive work experiences for their employees.

Benefits

Predicting job satisfaction enables organizations to enhance employee well-being, reduce turnover, improve performance, tailor recruitment strategies, and foster a positive workplace culture.

Priority

High

Record

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  • I'm a GSSOC contributor
  • I want to work on this issue
  • I'm willing to provide further clarification or assistance if needed.

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