Python Project using with machine learning with three algorithoms “RF”, “Transfer Learning” and “ResNet”

Job Description:

Project Title: Rice paddies Detection using machine learning

Requirement: Using Python with machine learning

Deadline: 3 days / 9th January

1. Need to use google colab.

2. The Rice Seedling dataset for training and testing can be downloaded from: [login to view URL]

Above link has dataset which my friend just told me to run the dataset from the research paper.

3. Actually, i need to find the best algorithm. which is better than the CNN which is in the research paper. So the friend advised me to use 3 algorithm. this is why i choose 3 different algorithms to compare. which is better than the CNN.

4. The most crucial things is that, since the research paper has use the CNN. My friend ask to add another three algorithm which are “RF”, “Transfer Learning” and “ResNet” to get new accuracy. Because i need to compare with CNN, which algorithm has a better algorithm on this dataset.

5. I attach one journal paper for collecting data which name is “A UAV Open Dataset of Rice Paddies for Deep Learning Practice”. Hereby, I attached the paper also please find it from attachment.

6. Can u suggest me what machine algorithm are better to use? I still wanna use the RF. And another 2 algorithms. But i think the ResNet is deep learning, right? If i change to NB, DT or KNN.

Навыки: Python, Machine Learning (ML)

О клиенте:
( 62 отзыв(-а, -ов) ) Balakong, Malaysia

ID проекта: #32566451



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