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model-testing

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Hameem1 / Step-Detection-using-Machine-Learning

Star 14

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

python machine-learning random-forest scikit-learn data-visualization feature-selection feature-extraction classification supervised-machine-learning model-training step-detection gait-analysis rfe rfecv data-pre-processing step-counting model-testing
  • Updated Dec 8, 2022
  • Python

Jithsaavvy / Sentiment-analysis-from-MLOps-paradigm

Star 5

This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD

nlp docker aws airflow deep-neural-networks tensorflow snowflake ci-cd orchestration ec2-instance datawarehouse bilstm mlops mlflow github-actions sagemaker-deployment model-testing automated-pipeline
  • Updated Feb 1, 2023
  • Python

udaisharma99 / Non-Linear-Harmonic-Oscillator

Star 0

This project investigated the behavior of a nonlinear harmonic oscillator solver and explained the observed loss of accuracy under certain conditions. It extended a linear harmonic oscillator solver to a nonlinear counterpart using the model 'Method of Manufactured Solutions'.

python jupyter-notebook data-visualization computational-physics numerical-modelling model-validation qualitative-analysis model-testing method-of-manufactured-solutions-model
  • Updated Feb 16, 2024
  • Python

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