CIND820

This repository contains the code and data for the Salary Prediction Project. The project aims to predict individuals' salaries based on their age, years of experience, and education level.

Steps to Reproduce the Results

1. Upload the Data:

   • Upload the data.csv file to your Google Drive. You can find the dataset here : https://www.kaggle.com/datasets/rkiattisak/salaly-prediction-for-beginer
   • Make sure the data file is renamed : "data.csv" and placed in "content" named directory of your Google Drive.

2. Set up the Environment:

   • Open the notebook in Google Colab or Jupyter Notebook.
   • Mount your Google Drive in the notebook by executing the following code snippet: python from google.colab import drive drive.mount('/content/drive')

3. Access the Data, Data Preprocessing, Feature Engineering, Model Training and Evaluation :

   • Run each section of the notebook to reproduce and visualize the results.

Requirements

• Python 3.x
• Required libraries: scikit-learn, pandas, numpy, matplotlib, seaborn, statsmodels.

Usage

1. Clone the repository: "git clone https://github.com/anhadkwatra55/CIND820.git"