GitHub - coding-blocks/DS-NOTES: Build files for Data Science Notes

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_panels_static		_panels_static
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1.1 Introduction to Numpy.html		1.1 Introduction to Numpy.html
1.2 Introduction to Matplotlib.html		1.2 Introduction to Matplotlib.html
1.3 Introduction to Pandas.html		1.3 Introduction to Pandas.html
10. Essence of NLP.html		10. Essence of NLP.html
11. Imbalanced Dataset.html		11. Imbalanced Dataset.html
12. PCA.html		12. PCA.html
2. KNN.html		2. KNN.html
3.1 Linear Regression.html		3.1 Linear Regression.html
3.2 Multi-Variate Regression.html		3.2 Multi-Variate Regression.html
3.3 MLE - Linear Regression.html		3.3 MLE - Linear Regression.html
3.4 GLM - Linear Regression.html		3.4 GLM - Linear Regression.html
4. Gradient Descent.html		4. Gradient Descent.html
5.1 Logistic Regression.html		5.1 Logistic Regression.html
5.2 Maximum Likelihood Estimation and Implementation.html		5.2 Maximum Likelihood Estimation and Implementation.html
6. Decision Trees.html		6. Decision Trees.html
7. Ensemble.html		7. Ensemble.html
8.1 EDA - Regression.html		8.1 EDA - Regression.html
8.2 EDA - Classification.html		8.2 EDA - Classification.html
9.1 Naive Bayes.html		9.1 Naive Bayes.html
9.2 Multinomial Naive Bayes.html		9.2 Multinomial Naive Bayes.html
About the Authors.html		About the Authors.html
README.html		README.html
genindex.html		genindex.html
index.html		index.html
intro.html		intro.html
objects.inv		objects.inv
search.html		search.html
searchindex.js		searchindex.js

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   Introduction
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   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 &amp; Implementation
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   Decision Tree Algorithm
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   Ensemble Learning
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   Naive Bayes Algorithm
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   Multinomial Naive Bayes
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   Imbalanced Dataset
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   Principal Component Analysis
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<h1>DataScience-ML-Notes<a class="headerlink" href="#datascience-ml-notes" title="Permalink to this headline">¶</a></h1>
<p>Notes for CB-ML-DS batch</p>
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