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<!DOCTYPE html>
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<title>Index — Data Science Notes</title>
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<a class="reference internal" href="intro.html">
Introduction
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Machine Learning
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<a class="reference internal" href="1.1%20Introduction%20to%20Numpy.html">
Numpy
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Matplotlib: Visualization with Python
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Pandas
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K - Nearest Neighbour
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Linear Regression
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Multi Variable Regression
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MLE - Linear Regression
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Generalised linear model-Linear Regression
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Gradient Descent
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Logistic Regression
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Logistic Regression MLE & Implementation
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<a class="reference internal" href="6.%20Decision%20Trees.html">
Decision Tree Algorithm
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Ensemble Learning
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Naive Bayes Algorithm
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<a class="reference internal" href="9.2%20Multinomial%20Naive%20Bayes.html">
Multinomial Naive Bayes
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<a class="reference internal" href="11.%20Imbalanced%20Dataset.html">
Imbalanced Dataset
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<a class="reference internal" href="12.%20PCA.html">
Principal Component Analysis
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About
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Acknowledgement
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