Salary-Prediction-Dashboard-for-HR-TCS-iON-RIO---125-
The repository is for the project associated with the internship program provided by TCS iON, The project is Salary Prediction Dashboard for HR
Salary-Prediction-Dashboard-for-HR-TCS-iON-RIO---125-
The repository is for the project associated with the internship program provided by TCS iON, The project is Salary Prediction Dashboard for HR
The source code file is a google colab notebook, you can read the file using the google colab The hr_employees.csv is the dataset that is used in the mode building
Make sure You have installed all the necessary libraries to run the final program that is inside the final_Report_Code directory you must install
- Streamlit (pip install streamlit)
- Pickle (pip install pickle)
- Pandas (pip install pandas)
- Numpy (pip install numpy)
- Altair (pip install altair)
How to Run the Program
- Download the Whole code by going to main repository
- After opening the Final_Project Code directory go to the title bar
- go to the explorers address bar and type cmd
- the console will open that contains the address of or your present working directory
- type "streamlit run hello.py"
- You can also use the console of the IDE You're working on
- the program will run your default browser
- to get the best visuals go to the setting button in corner and check the wide mode
- Enjoy the program
The Program contains a salary predictor that predicts the salary of a given employee according to their age and experience as well as the department below are some visual representation of the program
How to Install
- Download the dashboard markdown file from GitHub
- Drop it into your vault (anywhere)
- Install the Homepage plugin and point it at the file
- Enable any listed CSS snippets for the intended look
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Last updated 20mo ago
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