I have 300 weeks sale data.
The task is to make deep learning (machine learning) model using 299 weeks data (training data) to predict for 300th week data (test data).
If the predictions are near to 300th week data (test data), the model is called success.
Freelancer is free to coding in Python (Keras) using any deep learning (machine learning) model/approach, and share the code to me. However, the test data (last 300th week data) should not be leaked (used during training) by any means.
Milestones will be released (maximum $30) based on freelancer's capacity to predict the sales (300th week).
If all 7 days sales are predicted, milestone = $30.
If more than 3 days sales are predicted, milestone = $20.
If at least 3 days sales are predicted, milestone = $10.
The data and code I am working with are attached.
16 pekerja bebas membida secara purata $29 untuk pekerjaan ini
My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert). I also do Python programming.
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
Hi, I have worked on time series prediction using LSTM (deep learning) and predicted bitcoin prices. If interested, please connect and discuss further. Git link: [login to view URL]
I can make a model to predict 7-days sales. Been working on ML projects for 1 and a half year. Can I use a different model architecture than yours?
hey, this task will efficiently done by using DL recommendations model. I will give you a model which will give predications of all 7 days. If you want we can continue. Best Regards.
The code that you have provided seems to be working fine. Is it not giving the correct values? Do you want a newly written code or to make changes to this one? Please let me know.
Hi, I am interested in your project. I am familiar with ML and DL such as tensorflow, keras, CNN, LSTM, SVM, KNN and etc. If you are interested, please contact at any time. Regards.