Datascience prediction on Semiconductor chip manufacturing data using automl packages, or using appropriate algorithms

We have a processed Comma Seperated File(CSV) extracted from ATDF files of the probecards. You will need to combine several CSVs to make a final dataframe which should be used for final predictions. Data Cleaning, Excellent feature engineering is required to get the information out of the exisiting features.

Need to perform Machine Learning, AutoML or deep learning(whichever is suitable for this task) on it to make prediction of Dependent Variable(Binary). I would want to try multiple models on different evaluation metrices to gather information about efficiency of the model.

Skills: Deep Learning, PySpark, Keras, Tensorflow, Statistics

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About the Employer:
( 7 reviews ) Singapore, Singapore

Project ID: #30168875

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Hi, I am a datascientist in a Semiconductor based company and have worked on numerous such projects before. I know how to parse atdf raw files and shall be able to develop a ML model really quick. Consider me for thi More

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