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Machine-Learning-with-Scikit-Learn-Python-3.x

reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x

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In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…

python machine-learning reinforcement-learning vector scikit-learn sklearn machine-learning-algorithms scikit-image regression prediction consists supervised-learning classification semi-supervised-learning python-3 unsupervised-learning scikit-model scikit-learn-api scikit-learn-python
  • Updated Jun 16, 2021
  • Jupyter Notebook

MYoussef885 / Breast_Cancer_Classification_using_NN

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The "Breast Cancer Classification using Neural Networks" project focuses on predicting the presence of breast cancer using deep learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and implementing neural networks.

python deep-learning pandas-dataframe scikit-learn neural-networks numpy-arrays scikit-learn-api matplotlib-pyplot google-colab-notebook
  • Updated Sep 27, 2023
  • Jupyter Notebook

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