Two regression tasks using Neural Networks and other ML tools

I am looking for a freelancer who can help me with two regression tasks using neural networks and other machine learning tools. The project involves working with a small dataset, with less than 1000 samples. I am specifically interested in predicting multiple related variables.

The project needs to be done fast.

I need to use Neural Networks and other ML tools to solve this two reggression tasks https://archive.ics.uci.edu/ml/datasets/Bach+Chorales and https://archive.ics.uci.edu/ml/datasets/GPS+Trajectories.
Use two methods/architectures/NN types or even Machine Learning techniques from https://scikit-learn.org/

Create a small report about it and compare the results. Send me the data, code and report. I need it in a couple of hours.

Skills and Experience:
- Strong proficiency in Python and machine learning libraries
- Experience with neural networks and regression analysis
- Familiarity with other machine learning tools and techniques
- Ability to work with small datasets and handle multiple related variables

If you have the necessary skills and experience in Python3 and regression analysis, please apply for this project.