Car Price Prediction Model for Syarah

Car Price Prediction Model for Syarah

Developed a machine learning model to predict car prices for Syarah, a major Saudi Arabian car marketplace. The model assisted in improving pricing strategies for sellers by generating accurate price estimates based on car features, release year, and market trends.

Conducted extensive exploratory data analysis (EDA) to identify key features that influence car pricing, such as vehicle specifications and market conditions. Utilized Python (Pandas, Scikit-learn) to build a regression model that provided sellers with reliable price predictions, contributing to better pricing strategies and improving marketplace efficiency.

Technologies Used

• Python (Pandas, Scikit-learn)
• Jupyter Notebooks

Key Features

• Exploratory data analysis (EDA) of car pricing data
• Regression model for predicting car prices
• Data-driven insights to optimize seller pricing strategies