BigMart Sales Prediction ML Project in Python

Created an accurate predictive model for forecasting retail sales for Big Mart outlets.

Learned the insights behind sales, such as product visibility and the location of the outlet.

Enhanced the ability to perform data preprocessing by handling missing values as well as encoding categorical data.

Acquired knowledge in feature engineering to come up with relevant features like outlet age for better sales prediction.

Established the most accurate machine learning techniques used for the sales forecast analysis, such as Random Forest and Gradient Boosting.

Created hyperparameter tuning that enhanced the efficiency, and accuracy of the models.

Established a strong model evaluation system by use of statistical tools such as Mean Squared Error and R² score.

Developed practical skills to the field of retail analytics for improving the position of any product and planning advertisements.