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Harshit-code-tech authored Jun 18, 2024
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11 changes: 11 additions & 0 deletions Salary_Detection/Dataset/README.md
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# Dataset

## Overview
This folder contains the dataset used for the Salary Prediction of Data Professionals project.

## Contents
- `Salary Prediction of Data Professions.csv`: The main dataset used for training and testing the model.


## Description
The dataset includes various features such as job role, experience, age, ratings, and other relevant attributes to predict the salary of data professionals.
2,640 changes: 2,640 additions & 0 deletions Salary_Detection/Dataset/Salary Prediction of Data Professions.csv

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14 changes: 14 additions & 0 deletions Salary_Detection/Images/README.md
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# Images

## Overview
This folder contains images generated during different stages of the project such as data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation.

## Structure
- `.datapreprocessing`: Images related to data preprocessing steps.
- `.data_handling`: Images showing data handling techniques.
- `.eda`: Visualizations created during exploratory data analysis.
- `.feature_engineering`: Images showing feature engineering steps.
- `.Machine_Learning_Model_Development_and_Evaluation`: Visualizations related to model development and evaluation.
- `.ml_pipeline`: Images depicting the machine learning pipeline.


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13 changes: 13 additions & 0 deletions Salary_Detection/Model/README.md
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# Model

## Overview
This folder contains the main project files for the Salary Prediction of Data Professionals project.

## Contents
- `mentorness_ml_1.ipynb`: The Jupyter notebook file containing the entire workflow of the project including data analysis, feature engineering, model training, and evaluation.
- `README.md`: This readme file.
- `data`: A folder containing the dataset used in the project.

## Instructions
1. Open the `mentorness_ml_1.ipynb` to view the step-by-step workflow.
2. Install the necessary dependencies listed in the `requirements.txt` file.
2,640 changes: 2,640 additions & 0 deletions Salary_Detection/Model/Salary Prediction of Data Professions.csv

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