Data Science Salaries Prediction

Overview

This project focuses on predicting salaries in the field of data science. The dataset used for this prediction is [jobs_in_data.csv]. Various Python libraries such as Pandas, NumPy, Matplotlib, Scikit-Learn, and Seaborn are employed for data analysis, visualization, and machine learning model development. Jupyter Notebook is used as the primary environment for code development and documentation.

Features

• Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
• Feature engineering
• Model development and evaluation
• Salary predictions based on relevant features

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Scikit-Learn
• Seaborn
• Jupyter Notebook

Prerequisites

• Python 3.x
• Jupyter Notebook
• Pandas
• NumPy
• Matplotlib
• Scikit-Learn
• Seaborn

Setup

1. Clone the repository:

   git clone https://github.com/AmineRaouane/Data_Science_Salaries_Prediction.git