Layoff Prediction using Machine Learning | Python Projects 2023 | Artificial Intelligence

Layoff Prediction using Machine Learning | Python Projects 2023 | Artificial Intelligence
To get This Project - https://bit.ly/4ar4pEI
ABSTRACT
The increasing complexity of today's business environment has led organizations to seek innovative solutions for workforce management, with a particular focus on predicting and mitigating employee layoffs. This study proposes a novel approach to layoff prediction using machine learning, specifically leveraging Recurrent Neural Networks (RNNs). RNNs are well-suited for modeling sequential data, making them ideal for capturing the temporal dynamics inherent in workforce-related datasets.

In this research, historical workforce data, including variables such as employee performance metrics, tenure, departmental changes, and economic indicators, are employed to train and fine-tune the RNN model. The model's ability to learn patterns and dependencies within the data enables it to make accurate predictions regarding potential layoffs. The study explores various RNN architectures and hyperparameter configurations to optimize predictive performance.

Additionally, feature importance analysis is conducted to identify the key factors influencing layoff predictions, providing valuable insights for organizational decision-makers. The proposed model's performance is benchmarked against traditional machine learning approaches to highlight its superiority in capturing nuanced temporal relationships.


00:00:00 Introduction
00:01:15 About the Project
00:04:19 What is Layoff?
00:04:53 PPT Explanation
00:08:14 Advantages Of Project
00:11:05 Proposed System
00:12:16 Modules of the Project
00:14:02 RNN Algorithm
00:18:49 Environments and Tools For Project
00:20:46 Project Demo


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