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imehranasgari / ML-Regression-Logistic

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The objective of this notebook is to apply **Logistic Regression** for solving a binary classification task. The goal is to develop a clear understanding of the model workflow, implementation using scikit-learn, and model evaluation techniques.

python machine-learning interactive numpy scikit-learn regression logistic pandas seaborn classification logistic-regression matplotlib project-01
  • Updated Aug 17, 2025
  • Jupyter Notebook

imehranasgari / DL_TensorFlow_CustomModels_CustomLayers

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A collection of TensorFlow/Keras notebooks demonstrating custom model subclassing and custom layer creation. Includes regression on California Housing and filtered MNIST classification, showcasing preprocessing, training, evaluation, and deep learning customization skills.

deep-learning interactive tensorflow numpy end-to-end scikit-learn keras regression pandas matplotlib regularization project-1 fine-tuning relu project-01 custommodels customlayers low-level-api-tensorflow final-all-in-summary
  • Updated Aug 17, 2025
  • Jupyter Notebook

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