DNN Algorithm Implementation for Thesis

Job ID: 38195359

Budget: €30 – €250 EUR

I have a thesis paper where I used Logistic Regression and Random Forest as machine learning algorithms. I'm looking for a professional who can assist me in replacing these with a DNN algorithm. The main reason for this change is because I believe a DNN algorithm will provide better accuracy.

Key Requirements:
- Replace Logistic Regression and Random Forest: The candidate should be able to replace the existing algorithms with a Deep Neural Network (DNN) algorithm.
- Ensure Accuracy: The primary goal of using the DNN algorithm is to achieve a higher level of accuracy compared to the current approach.

Ideal Skills and Experience:
- Strong background in machine learning and neural networks.
- Proficiency in Python, as the existing work is done in Python.
- Experience in dealing with structured numerical data.
- Prior experience in implementing and optimizing DNN algorithms.

The dataset is relatively small, with less than 10,000 records. The freelancer should have experience in handling this size of data efficiently. The candidate should also be able to provide explanations and assistance throughout the process, as I am open to learning and understanding the process of the transition.
Related categories: Python Algorithm Machine Learning (ML)