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Some recognized algorithms[Decision Tree, Adaboost,Perceptron,Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

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Type
Name
Latest commit message
Commit time
Analysis
OoOOOOOOO
Dec 6, 2018
ChannelEquilizer
TM done
May 9, 2019
DcsnT_Adaboost
EM
Dec 8, 2018
NN
Recommendation befor ALS
Jan 8, 2019
PCA_EMClusteringGMM
Channel Eq test done
Jan 6, 2019
Pattern
OoOOOOOOO
Dec 6, 2018
Perceptron
OoOOOOOOO
Dec 6, 2018
Recommend
TM done
May 9, 2019
TemplateMatch
TM done
May 9, 2019
templateMatching
TM done
May 9, 2019
testing
OoOOOOOOO
Dec 6, 2018
.gitignore
TM done
May 9, 2019

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Some recognized algorithms[Decision Tree, Adaboost,Perceptron,Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

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decision-tree-classifier adaboost-learning perceptron-learning-algorithm binary-perceptron basic-learning pocket reward-and-punishment multiclass-classification multiclass-kersel numpy python recommendation-algorithm template-matching artificial-neural-networks scratch scikit-learn als-algorithm

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