MLP Model for Forecasting the Export Value of Crop Products

Description: In this project, I built a Multi-Layer Perceptron (MLP) model to forecast the export value of crop products for a country three years into the future. I used a dataset that contained 13 CSV files with export data for different crops.

Technologies Used: Python, TensorFlow, Keras, Pandas, Matplotlib.

Highlights:

Built a neural network model using TensorFlow and Keras for regression analysis.
Preprocessed and combined multiple datasets to create a comprehensive training set.
Achieved accurate forecasting results by tuning hyperparameters.

GitHub Link: See Project on GitHub

Google Sites

Report abuse