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Anomaly Detection. Pipe line, K-cross validation .ipynb

Anomaly Detection. Pipe line, K-cross validation .ipynb

 
 

Decision_Tree_Classifier.ipynb

Decision_Tree_Classifier.ipynb

 
 

Iris.csv

Iris.csv

 
 

K_MEANS_CLUSTERING.ipynb

K_MEANS_CLUSTERING.ipynb

 
 

K_NEAREST_NEIGHBOR_CLASSIFIER.ipynb

K_NEAREST_NEIGHBOR_CLASSIFIER.ipynb

 
 

Keras.ipynb

Keras.ipynb

 
 

Linear_Regression.ipynb

Linear_Regression.ipynb

 
 

Logistic Regression.ipynb

Logistic Regression.ipynb

 
 

Naive_Bayes_Classifiers.ipynb

Naive_Bayes_Classifiers.ipynb

 
 

README.md

README.md

 
 

Support_Vector_Machine.ipynb

Support_Vector_Machine.ipynb

 
 

TensorFlow.ipynb

TensorFlow.ipynb

 
 

housing.csv

housing.csv

 
 

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Machine_Learning_Algorithms

Implementation of Machine_Learninng Algorithms using Python Library.

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Implementation of Machine_Learninng Algorithms in simplest way.

Topics

naive-bayes linear-regression machine-learning-algorithms logistic-regression support-vector-machine principal-component-analysis decision-tree-classifier k-nearest-neighbours k-means-clustering

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