Prediction-of-Product-Sales

n this project, I developed a predictive model to forecast product sales using machine learning techniques. The goal was to help businesses make informed decisions regarding inventory management and marketing strategies.

Key Steps:

Performed exploratory data analysis (EDA) to understand data patterns

Handled missing values and applied data preprocessing

Selected important features impacting sales

Trained and evaluated multiple regression models

Achieved optimal performance using the Random Forest Regressor

Technologies Used:

Python

Libraries: Pandas, NumPy, Matplotlib, Scikit-learn

Machine Learning Techniques: Regression Models, Feature Engineering, Model Evaluation