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DrMalchev
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Machine_Learning_with_Python_Edureka
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.ipynb_checkpoints
.ipynb_checkpoints
.gitattributes
.gitattributes
01_Iris_Datasets.ipynb
01_Iris_Datasets.ipynb
02_a_Linear_Regression.ipynb
02_a_Linear_Regression.ipynb
02_b_Linear_Regression_sklearn.ipynb
02_b_Linear_Regression_sklearn.ipynb
03_a_Logistic_Regression_example_Titanic.ipynb
03_a_Logistic_Regression_example_Titanic.ipynb
03_b_Logistic_Regression_example_SUV_sales.ipynb
03_b_Logistic_Regression_example_SUV_sales.ipynb
04_a_Decision_Tree_example_Fruits.ipynb
04_a_Decision_Tree_example_Fruits.ipynb
04_b_Decision_Tree_example_Fruits_Teacher_Code.ipynb
04_b_Decision_Tree_example_Fruits_Teacher_Code.ipynb
05_a_KNN_example_Irisflower.ipynb
05_a_KNN_example_Irisflower.ipynb
06_a_Naive_Bayes_example_Diabetes_Case.ipynb
06_a_Naive_Bayes_example_Diabetes_Case.ipynb
06_a_Working_Copy_Naive_Bayes_example_Diabetes.ipynb
06_a_Working_Copy_Naive_Bayes_example_Diabetes.ipynb
06_b_SKLEARN_usage_for_example_Naive_Bayes_example_Diabetes.ipynb
06_b_SKLEARN_usage_for_example_Naive_Bayes_example_Diabetes.ipynb
07_a_K_Means_Demo.ipynb
07_a_K_Means_Demo.ipynb
08_a_Association_Rule_Mining_Apriori_Example.ipynb
08_a_Association_Rule_Mining_Apriori_Example.ipynb
09_a_Q_Learning_Numpy.ipynb
09_a_Q_Learning_Numpy.ipynb
KNN_Iris.csv
KNN_Iris.csv
Online_Retail.xlsx
Online_Retail.xlsx
Python First Test.ipynb
Python First Test.ipynb
Python Second Test.ipynb
Python Second Test.ipynb
Untitled.ipynb
Untitled.ipynb
headbrain.csv
headbrain.csv
movie_metadata1.csv
movie_metadata1.csv
pima-indians-diabetes.csv
pima-indians-diabetes.csv
suv_data.csv
suv_data.csv
titanic.csv
titanic.csv
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