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recall

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kalthommusa / Udacity-Intro-to-ML-with-TensorFlow

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This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

random-forest tensorflow linear-regression machine-learning-algorithms cross-validation artificial-intelligence supervised-learning accuracy recall logistic-regression adaboost support-vector-machines naive-bayes-algorithm precision decision-tree-classifier bagging perceptron-algorithm
  • Updated Feb 27, 2022
  • Jupyter Notebook

saramille / Breast-cancer-Data-analysis

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This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.

heatmap cross-validation pca dimensionality-reduction recall logistic-regression standardization knn svm-model principal-component-analysis dimension-reduction svm-classifier covariance-matrix principal-components normalization covariance-matrices knearest-neighbor-classifier sensitvity
  • Updated Jun 24, 2023
  • Jupyter Notebook

mayurasandakalum / breast-cancer-detection

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Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.

machine-learning random-forest svm exploratory-data-analysis jupyter-notebook ml accuracy recall logistic-regression data-preprocessing visualizations decision-tree precision model-evaluation f1-score breast-cancer-classification
  • Updated Jun 30, 2024
  • Jupyter Notebook

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