The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.
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Updated
Apr 11, 2024 - Jupyter Notebook
The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.
Welcome to our repository dedicated to applying machine learning techniques in the domain of trading. Here, we offer a comprehensive insight into applying machine learning techniques to trading strategies.
This is a Python repository implementing a K-Nearest Neighbors (KNN) algorithm for predictive modeling using car data.
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