Library for computations with markov chains and probability matrices
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Updated
Jul 13, 2024 - TypeScript
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probability-matrix
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Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.
machine-learning
confusion-matrix
data-preprocessing
class-imbalance
label-encoding
accuracy-score
probability-matrix
recall-value
scaling-the-data
splitting-train-test-data
y-prediction-on-test-data
type-1-and-type-2-errors
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Updated
May 6, 2024 - Jupyter Notebook
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