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Apply machine learning techniques to get rid of noisy data

$30-250 USD

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게시됨 5년 이상 전

$30-250 USD

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There are two time series and we need to predict one based on the other. The idea behind it is: the input series is very noisy, whereas the output is smoothen (apparently there is no obvious pattern). This happens for multiple locations, so we need to check which model fits best each location. We have a preference for Python, but R is fine as well.
프로젝트 ID: 17802791

프로젝트 정보

28 제안서
원격근무 프로젝트
활동 중 5년 전

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사용자 아바타
Hi, I am interested in your project. I am Python and Machine Learning specialist, certified by Freelancer. I fully understand your requirements and I am sure I can help you. Let's discuss details by chat.
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Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Python & Artificial Intelligence Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.
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Dear client, Thanks a lot for taking your precious time to read my message. After browsing your job description, I am very interested in your project and I believe I’m qualified for the task. Regarding Machine Learning, I have +10 years in this field and have worked on many successful projects in the past. If you are looking for a highly skilled and rich experienced expert with a deep knowledge, a professional attitude, excellent communication skills and the highest code quality, then I'm the person you are looking for. I'd like to talk more about this. If given a chance, I am highly confident in my ability to deliver the highest quality. I am confident that my involvement in your project will bring it to a successful launch, on time and within budget. I look forward to hearing from you. Kind Regards
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Hello, Greetings of the day.!! Your project attracted my attention at first glance, because I've really rich experience in Machine Learning & Python Programming. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project. I am having 3+ year of experience in Data Science using tools like Python, R, Spark. Worked on multiple projects in various domains like life sciences, CPG, Insurance. I have completed Master of Technology in Machine Learning. If we have a chance to cooperate, I'll do my best to provide wonderful result. Work Areas - Image Processing, Text Mining, Supervised and Unsupervised Machine learning problem, Voice Analytics. Thanks, Abhyudaya D
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Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash
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This is a very straightforward problem from the perspective of deep learning. I've already got some template simple recurrent neural networks and lstm networks from previous projects that would do the job perfectly. I look forward to hearing more about the data and if there is any other way I could improve your predictions.
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Hello, I have briefly read the description on apply-machine-learning-techniques , and I can deliver as per the requirements however I need us to discuss for more clarity on the details, deadline and budget as well.
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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 different libraries such as NumPy, TensorFlow, pandas, SKlearn, openCV, graphlab and matplotlib. we are experts in applying machine learning algorithms and optimizing it such as regression, classification, clustering, reinforcement learning and deep learning. we are experts in python, C, C++ and C# . we are experts in visualizing data to be seen by the client in a simple way.
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I did my post grad in data analytics and time series was a major project. According to your description, this problem might require ensembleming using smoothing methods. I still require to see the data first
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This looks like pretty much typical machine learning task that could be done with neural networks. I would use Keras with Tensorflow backend, based on 2-3 layers fully-connected neural network. The goal is to not let NN to overfit, but to find sweet spot just before overfitting, where prediction would respond with smoothed curve (low frequencies) and suppress sudden changes - peaks (high frequencies). Best, Vedran
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Hello there, I am an analytics consultant with more than 6 years of experience working with clients across the globe on data driven decision making projects using SAS and R. Please ping for further details. Best, Yash
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사용자 아바타
Hi, Here are my points emphasizing why you should choose for your project 1) Have done a lot of Machine learning projects and has a pretty good knowledge of algorithms and frameworks like tensorflow, keras, and many libraries. Currently working on a Machine learning project for detecting skin diseases at the college. 2)Programming in python for about 2 years and can do good work in it pretty quickly. 3) Have the lowest bid possible. Please check out my portfolio for further information.
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고객에 대한 정보

국기 (BRAZIL)
Sao Paulo, Brazil
5.0
1
9월 19, 2018부터 회원입니다

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