This is a simple machine learning project for a simple regression problem with about 20 features and <50k observations. The issue at hand is that we want to predict whether it is good for a firm to buy a new production plant or not. In the data, we have n firms at different points in time t. The target value is the value-added when they buy a new plant.
The data is already available and cleaned up for the project. I am looking for someone who can help select the right model (SVM, random forest, ...) and illustrate the results in a standard way. I do have ML experience myself; so, I simply want someone who can help with coding it up by him/herself without needing too many instructions. This is a very straightforward task and it should be completed by the end of this week (Friday at noon PST).
I would prefer doing it with the Scikit-Learn library but am open to your suggestions.
Please only apply if you already have a lot of ML experience.
52 freelancere byder i gennemsnit $162 på dette job
Hi there, please leave a message on my chat so we can discuss the budget and deadline of the project. I have read your project description and i'm confident i can do this project for you perfectly. Thanks . .
HI, I am data scientist and have good experience in python and R programming. My area of interest is statistical Analysis of dataset and apply ML/deep learning algorithm. I can intern your tasks. Kind Regards
Hello, How it's going? Your project is awarded? If not, I'm very interested in your project. I have good experience with Machine Learning. I can implement your project with python or R. Regards.
Hi I had a PhD in computer science. My area of expertise is data mining and machine learning. If we can use Weka tool I think I can help you. Please contact me. Many thanks.
Hi,i'm a data scientist with a BS degree in computer science i will do your task as fast as i can and i will achieve it exactly as you want,don't worry about any thing contact me for discussion