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model-training-and-optimization

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DavidOgalo / Automatic-License-Plate-Recognition-System

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Designed and implemented an ANPR system using deep learning for accurate license plate identification. The project involved data preprocessing with OpenCV, TensorFlow, and OCR techniques for real-time identification. Model performance was evaluated using cross-validation and metrics like accuracy and F1 score.

deep-learning cross-validation image-processing performance-metrics data-preprocessing optical-character-recognition model-evaluation model-training-and-optimization
  • Updated Jun 5, 2024
  • Jupyter Notebook

mudasarsabir / Titanic-Competition-By-Decision-Tree-Classification

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Titanic Survival Prediction Using Decision Tree. This project uses a Decision Tree Classifier to predict Titanic passenger survival based on the Kaggle dataset. It covers data preprocessing, feature engineering, and model training with Scikit-learn.

machine-learning scikit-learn python3 kaggle-competition supervised-learning predictive-modeling decision-tree decision-tree-classifier binary-classification data-science-competition categorical-variables numpy-library pandas-library categorical data-science-projects titanic-dataset-predictions model-training-and-evaluation model-training-and-tuning model-training-and-optimization
  • Updated May 4, 2025
  • Jupyter Notebook

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