python 3 machine learning code explanation
$30-250 USD
Оплачується при отриманні
I need you to explain a machine learning code in jupyter notebook on python 3 using tensor flow backend and lstm model
ID Проекту: #17828107
Про проект
Доручено:
20 фрілансерів(-и) готові виконати цю роботу у середньому за $156
Hello, there, I am very happy to put my bid on your project. I am an expert of machine learning algorithm and senior python developer, so I am interested in and confident to do this project. I hope to discuss everyt Більше
Hello, Hope you are doing well. I can help with your project python 3 machine learning code explanation. I can assure you the quality job. I have good experience in Machine Learning, Python. We have worked on Більше
Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin Більше
I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/ Більше
I have extensive experience in python image processing (PIL) and deep learning (tensorflow, scikitlearn, fastai, Opencv, Pycharm,NILM algorithms etc) I am also very familiar with classification and clustering algorith Більше
we are a team of persons sharing a lot of knowledge in artificial intelligence field. we are experts at machine learning, deep learning, artificial intelligence and computer vision, we work on many environments and Більше
Hello , I have seen your requirement and I'm interested in this job. I am having 4 years of in Python, node.js,angular, react.js ,Apache Spark 2.0, Big Data Hadoop, Machine Learning, Deep Learning, Neural Networks P Більше
hello, i have experience with tensorflow 2+ years, working full time as machine learning engineer, i can do this job and provide all needed details
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I would love to help you with your problem. I have already studied some machine learning and done plenty of projects including lstm model in the past.
will give an explanation in jupyter notebook, with links to resources, and will try to find any possible improvements. will also provide tensorboard snapshots to help understand the state of the algorithm.