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Use RNN/KNN (Regression) to develop a machine learning diagnostics and prognostics solution of a machine (like AC Motor, Gearbox).

To develop a machine learning diagnostics and prognostics solution of a machine (like AC Motor, Gearbox). Use RNN algorithm. Solution must contain data exception handling, null detection, missing data handling (like replacing it with the mean of the data), outliers detection, etc. Data will be taken from the sensors which will be attached on the machines (like AC Motor, Gearbox), and the data is stored in the influxdb database. It should monitor the machine's health. Work on the real-time diagnostics (or like call/take around 30 minutes data from influxdb then do data analytics and send it to the influxdb database again but in a different container/different database of influxdb).

Квалификация: Machine Learning (ML), Алгоритмы, Интеллектуальный анализ данных, Python, Java

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( 37 отзыв(-а, -ов) ) faridabad, India

ID проекта: #24582846

4 фрилансеров(-а) в среднем готовы выполнить эту работу за $145

navneetsoni

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RahulBadhan

KNN is a non-parametric, lazy learning algorithm. Its purpose is to use a database in which the data points are separated into several classes to predict the classification of a new sample point. ... KNN is also a lazy Больше

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maeugpalflor

Hi I know regression Relevant Skills and Experience Regression modeling

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NarenderManral

Hi i know machine learning i have done some projects in machine learning on various datasets using RNN algorithm and other algorithms. Doing programming using data structures from quite some time now.

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