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Linear and Logistic regression from scratch

This was created only using NumPy with the intention of exploring the inner workings of classical machine learning libraries such as scikit learn.

How to Use?

Please refer to the Regression.ipynb for demo,

  • Use Object.fit and Object.predict to train and predict, similar to scikit-learn

🛠 Installation

  • Python: 3.10.10
git clone https://github.com/VishalParmar07/Learning_How_Machine_Learns-regression.git
cd Learning_How_Machine_Learns-regression
pip install -r requirements.txt

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Implementing Linear and Logistic Regression from Scratch using NumPy

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