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1. Fall-risk-prediction-Computer-Vision-Machine-Learning Fall-risk-prediction-Computer-Vision-Machine-Learning Public

   Developing machine learning models to classify high and low fall risk based on vide recording of gaits: Utilising OpenPose a computer vision technique for features extraction.

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2. Developing-Machine-Learning-Models-for-Back-Pain-Prediction-Utilizing-Video-Recordings-of-Gaits Developing-Machine-Learning-Models-for-Back-Pain-Prediction-Utilizing-Video-Recordings-of-Gaits Public

   Developing machine learning models to classify high, medium and low back pain risk based on vide recording of gaits: Utilising OpenPose a computer vision technique for features extraction.

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3. Image-Classification Image-Classification Public

   Data collection, statistical analysis, interpretation and image classification of the obtained diseases images are the focus of this project, as well as the exploration of quantitative methods for …

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4. Distributed-Linear-Regression-Analysis Distributed-Linear-Regression-Analysis Public

   The housing dataset is used to develop a pipeline for running a simple linear regression in a pseudo-distributed manner (single node setup) using Spark ML. The following was implemented: • Created …

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5. Weed-Classification Weed-Classification Public

   Created image classifiers as well as an access model by using Python to create a process for the processing of image data. This pipeline include: • Pre-processing, feature extraction, train classif…

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6. Text-processing-Information-retrieval-and-information-extraction-text-to-speech Text-processing-Information-retrieval-and-information-extraction-text-to-speech Public

   The author implemented simple rule base solution and machine learning approach for information retrieval and information extraction after which the result were analyzed.

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