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machine-learning-engineer

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AndreasBraun5 / Data-Mining-in-Industrial-Processes-Evaluation-of-different-machine-learning-models-for-Prediction

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Data Mining in Industrial Processes: Evaluation of different machine learning models for product quality prediction. Evaluated model types are Random Forest, Naive Gaussian Bayes, Logistic Regression, K Nearest Neighbour and Support Vector Machine. Comparision of non time based state based approach with time series based approach. Final result i…

python data-science machine-learning data-mining sql big-data time-series nosql scikit-learn pandas artificial-intelligence data-analytics data-analysis data-preprocessing data-engineer time-series-analysis time-series-data-mining industrial-process manufacturing-process machine-learning-engineer
  • Updated May 13, 2020

farkhod-developer / DL_Image_Classification_Model

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Image Classification Model, You can upload the following images: TRANSPORTS: Car, Boat, Airplane, Rocket, Helicopter, CARNIVORES: Raccoon, Otter, Dog, Lion, Tiger, Red_panda, Lynx, Jaguar, Bear, Fox, Cat FRUITS: Apple, Grape, Common_fig, Pear, Strawberry, Tomato, Lemon, Banana, Orange, Peach, Mango, Pineapple, Grapefruit, Pomegranate, Watermelon…

python data-science machine-learning deep-learning ml image-classification data-engineer machine-learning-engineer streamlit image-classification-model
  • Updated Jun 23, 2022
  • Python
udacity-azmlnd-operationalizing-machine-learning

DubWiser / udacity-azmlnd-operationalizing-machine-learning

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This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

python machine-learning jupyter-notebook azure-machine-learning mlops machine-learning-engineer azure-ml-pipeline azure-ml-nanodegree mlops-workflow
  • Updated Oct 16, 2021
  • Jupyter Notebook

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