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Understanding the importance of Mental Health in Workplace: EDA and analysis #193
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Congratulations, @Nidhi-Satyapriya! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work! We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines |
@SrijanShovit kindly assign this issue to me. |
hey @SrijanShovit sir, did you find this useful?
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@SrijanShovit @sanjay-kv sir, the issues are getting staled and closed. It would be better if you looked at this once and offer your advise, whether positive or negative. |
This aint my repo, as a PM I can only help with changing labels, but indeed can alert admin about this via email. |
kindly do sir.. |
This issue has been automatically closed because it has been inactive for more than 7 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you! |
Is your feature request related to a problem? Please describe.
Importance of Understanding Mental Health in Tech:
Describe the solution you'd like along with reference dataset.
Data Collection: from kaggle datasets-(https://www.kaggle.com/datasets/thedevastator/mental-health-in-tech-survey)
Data Cleaning
Exploratory Data Analysis (EDA)
Feature Engineering
Data Modeling-
Model Evaluation
Visualization and Recommendations:
Deployment
Describe alternatives you've considered
Using deep learning models can enhance the depth of analysis, providing more nuanced insights into mental health in the tech industry.
Additional context
No response
Code of Conduct
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