Machine-Learning-using-Python

a.Regression

1> Simple Linear Regression.

2> Multiple Linear Regression.

3> Polynomial Regression.

4> Support Vector Regression.

5> Decision Tree Regression.

6> Random Forest Regression.

7> Logistic Regression.

b. Classification

1> K-Nearest Neighbors.

2> Support Vector Machine.

3> Kernel SVM.

4> Navie Bayes.

5> Decision Tree Classification.

6> Random Tree Classification.

c. Clustering

1> K-Mean Clustering.

2> Hierarchial Clustering.

d.Association Rule Learning

1> Apriori.

2> Eclat.

e.Natural Language Processing

f. Deep Learning

1> Artifical Neural Network.

2> Convolution Neural Network.