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In this repository you will find simple ML projects using different supervised and non-supervised algorithms using Sk-Learn datasets and excel datasets

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DecisionTreeClassifier using breast cancer data.py
DecisionTreeClassifier using breast cancer data.py
 
 
DecisionTreeClassifier using heart data.py
DecisionTreeClassifier using heart data.py
 
 
DecisionTreeRegressor using boston data.py
DecisionTreeRegressor using boston data.py
 
 
DecisionTreeRegressor using data dataset.py
DecisionTreeRegressor using data dataset.py
 
 
KMeans.py
KMeans.py
 
 
KNeighborsClassifier using breast cancer data set.py
KNeighborsClassifier using breast cancer data set.py
 
 
KNeighborsClassifier using diabetes data set.py
KNeighborsClassifier using diabetes data set.py
 
 
KNeighborsRegressor using boston data set.py
KNeighborsRegressor using boston data set.py
 
 
KNeighborsRegressor using houses data set.py
KNeighborsRegressor using houses data set.py
 
 
Kmeans using data data set.py
Kmeans using data data set.py
 
 
Kmeans using iris data.py
Kmeans using iris data.py
 
 
LDA LinearDiscriminantAnalysis using breast cancer data set.py
LDA LinearDiscriminantAnalysis using breast cancer data set.py
 
 
LDA-Logestic regression using iris data set.py
LDA-Logestic regression using iris data set.py
 
 
Linear Regression using boston data.py
Linear Regression using boston data.py
 
 
Logestic Regression using satf data (data from excel).py
Logestic Regression using satf data (data from excel).py
 
 
LogisticRegression for Breastcancer data.py
LogisticRegression for Breastcancer data.py
 
 
NB BernoulliNB using breast cancer data set.py
NB BernoulliNB using breast cancer data set.py
 
 
NB GaussianNB using breast cancer data set.py
NB GaussianNB using breast cancer data set.py
 
 
NB GaussianNB using heart data set.py
NB GaussianNB using heart data set.py
 
 
NB MultinomialNB using breast cancer data set.py
NB MultinomialNB using breast cancer data set.py
 
 
PCA using iris data.py
PCA using iris data.py
 
 
Polynomial Regression using satf data (data from excel).py
Polynomial Regression using satf data (data from excel).py
 
 
QDA QuadraticDiscriminantAnalysis using breast cancer dataset.py
QDA QuadraticDiscriminantAnalysis using breast cancer dataset.py
 
 
SGDClassifier using Breast cancer data.py
SGDClassifier using Breast cancer data.py
 
 
SGDRegressor using houses data (data from excel).py
SGDRegressor using houses data (data from excel).py
 
 
SVC using heart data.py
SVC using heart data.py
 
 
SVC-Logistic regression using iris data.py
SVC-Logistic regression using iris data.py
 
 
SVR using houses data.py
SVR using houses data.py
 
 
SVR,Linear regression using boston data.py
SVR,Linear regression using boston data.py
 
 
data.csv
data.csv
 
 
diabetes.csv
diabetes.csv
 
 
heart.csv
heart.csv
 
 
houses.csv
houses.csv
 
 
iris.csv
iris.csv
 
 
satf.csv
satf.csv
 
 

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In this repository you will find simple ML projects using different supervised and non-supervised algorithms using Sk-Learn datasets and excel datasets

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