Pattern_Recognition_Techniques

Several Pattern recognition techniques , implemented in python3 , using Anaconda

Principal Component Analysis

KNN

Decision Tree

Bayesian Classification

Naive Bayes

Gaussian Classification

M-Estimate

Risk Analysis

Text Classification

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Bayes Theorem Implementation.ipynb		Bayes Theorem Implementation.ipynb
DecisionTree.py		DecisionTree.py
DecisionTreeNode.py		DecisionTreeNode.py
Gaussian.ipynb		Gaussian.ipynb
KNN.ipynb		KNN.ipynb
Main.py		Main.py
NaiveBayes.py		NaiveBayes.py
PCA.ipynb		PCA.ipynb
PCA.py		PCA.py
Print_Decision_Tree.py		Print_Decision_Tree.py
README.md		README.md
RiskAnalysis.py		RiskAnalysis.py
Senteces.py		Senteces.py
TextClassification.py		TextClassification.py
class_quesn.pdf		class_quesn.pdf
gaussian.py		gaussian.py
mestimate.py		mestimate.py
pca.png		pca.png
plot_graph.py		plot_graph.py
wine_ds.pdf		wine_ds.pdf
wine_ds_4.pdf		wine_ds_4.pdf
wine_ds_n.pdf		wine_ds_n.pdf

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Pattern_Recognition_Techniques

Principal Component Analysis

KNN

Decision Tree

Bayesian Classification

Naive Bayes

Gaussian Classification

M-Estimate

Risk Analysis

Text Classification

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Pattern_Recognition_Techniques

Principal Component Analysis

KNN

Decision Tree

Bayesian Classification

Naive Bayes

Gaussian Classification

M-Estimate

Risk Analysis

Text Classification

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