├── .DS_Store ├── .ipynb_checkpoints ├── DecisionTree_classification-checkpoint.ipynb ├── Untitled-checkpoint.ipynb ├── Untitled1-checkpoint.ipynb └── Voting Classifier-checkpoint.ipynb ├── Boosting └── AdaBoost Classification.py ├── Churn Prediction ├── .DS_Store ├── .ipynb_checkpoints │ └── churn classification must-checkpoint.ipynb ├── churn classification must.ipynb └── churn.csv ├── Data Science in Practise.pdf ├── DecisionTree ├── .ipynb_checkpoints │ └── DecisionTree_classification-checkpoint.ipynb ├── CART Classification.py └── DecisionTree_classification.ipynb ├── DemystifyingML_ppt.pdf ├── KMeans Cluster ├── kmeans.ipynb ├── old_faithful_geyser_data.csv └── scikit-learn-k-means.ipynb ├── KNN Classification ├── A Simple Classification.ipynb ├── KNN Classifier.ipynb ├── breast-cancer-wisconsin.data ├── fruit_data_with_colors.txt └── knn.ipynb ├── Linear Regression ├── .DS_Store ├── Excercise │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ ├── Excercise Linear Regression must-checkpoint.ipynb │ │ └── Linear regression Excercise-checkpoint.ipynb │ ├── Excercise Linear Regression must.ipynb │ └── Linear regression Excercise.ipynb └── Practise │ ├── .DS_Store │ ├── .ipynb_checkpoints │ └── scikit-learn-linear-reg-checkpoint.ipynb │ ├── Advertising.csv │ ├── Cross Validation Classification Report.py │ ├── Cross Validation Regression MAE │ ├── Cross Validation Regression MAE.py │ ├── Cross Validation Regression MSE.py │ ├── Cross Validation Regression R^2.py │ ├── Linear Regression.py │ ├── LinearRegression_Sales.ipynb │ ├── Position_Salaries.csv │ ├── salary_Linear_Regression.ipynb │ └── scikit-learn-linear-reg.ipynb ├── Logistic Regression ├── .DS_Store ├── .ipynb_checkpoints │ ├── Logistic Regression Demo Titanic Data set-checkpoint.ipynb │ ├── Logistic Regression Excercise-checkpoint.ipynb │ ├── LogisticRegression-checkpoint.ipynb │ ├── breast_cancer_predict-checkpoint.ipynb │ └── logistic_sklearn affair data-checkpoint.ipynb ├── Excercise │ ├── .DS_Store │ └── Logistic Regression Excercise.ipynb └── Practise │ ├── .DS_Store │ ├── AUC curve For Binary Classification using matplot.py │ ├── Breast_Cancer.csv │ ├── Cross Validation Classification Accuracy.py │ ├── Example of a confusion matrix in Python.py │ ├── Logistic Regression Classification.py │ ├── Logistic Regression Demo Titanic Data set.ipynb │ ├── LogisticRegression.ipynb │ ├── breast_cancer_predict.ipynb │ └── logistic_sklearn affair data.ipynb ├── Python ├── .DS_Store ├── Data Preprocessing │ ├── Data Preprocessing.ipynb │ ├── data.csv │ └── data_preprocessing.py ├── Python Basics │ ├── Preprocessing.ipynb │ ├── PythonBasics_Day1.ipynb │ ├── PythonBasics_Day2.ipynb │ ├── PythonBasics_Day3.ipynb │ ├── PythonBasics_Day4.ipynb │ ├── PythonBasics_Day5.ipynb │ ├── PythonBasics_Day6.ipynb │ ├── pima-indians-diabetes.data.csv │ └── python_lab.ipynb ├── numpy │ ├── .DS_Store │ ├── .ipynb_checkpoints │ │ └── numpy-checkpoint.ipynb │ ├── 02.00-Introduction-to-NumPy.ipynb │ ├── 02.01-Understanding-Data-Types.ipynb │ ├── 02.02-The-Basics-Of-NumPy-Arrays.ipynb │ ├── 02.03-Computation-on-arrays-ufuncs.ipynb │ ├── 02.04-Computation-on-arrays-aggregates.ipynb │ ├── 02.05-Computation-on-arrays-broadcasting.ipynb │ ├── 02.06-Boolean-Arrays-and-Masks.ipynb │ ├── 02.07-Fancy-Indexing.ipynb │ ├── 02.08-Sorting.ipynb │ ├── 02.09-Structured-Data-NumPy.ipynb │ ├── __init__.py │ ├── numpy.ipynb │ └── tests │ │ └── __init__.py └── pandas │ ├── .DS_Store │ ├── .ipynb_checkpoints │ └── pandas-checkpoint.ipynb │ ├── 03.00-Introduction-to-Pandas.ipynb │ ├── 03.01-Introducing-Pandas-Objects.ipynb │ ├── 03.02-Data-Indexing-and-Selection.ipynb │ ├── 03.03-Operations-in-Pandas.ipynb │ ├── 03.04-Missing-Values.ipynb │ ├── 03.05-Hierarchical-Indexing.ipynb │ ├── 03.06-Concat-And-Append.ipynb │ ├── 03.07-Merge-and-Join.ipynb │ ├── 03.08-Aggregation-and-Grouping.ipynb │ ├── 03.09-Pivot-Tables.ipynb │ ├── 03.10-Working-With-Strings.ipynb │ ├── 03.11-Working-with-Time-Series.ipynb │ ├── 03.12-Performance-Eval-and-Query.ipynb │ ├── 03.13-Further-Resources.ipynb │ ├── __init__.py │ ├── pandas.ipynb │ └── tests │ └── __init__.py ├── README.md ├── Random forest ├── .DS_Store ├── inputs │ ├── breast-cancer-wisconsin.csv │ ├── breast-cancer-wisconsin.data │ └── breast-cancer-wisconsin.names ├── outputs │ └── Ouputs.md └── scripts │ ├── .ipynb_checkpoints │ └── Random Forest classifier-checkpoint.ipynb │ ├── Random Forest classifier.ipynb │ └── random_forest.py ├── SVM ├── .ipynb_checkpoints │ └── svm example must-checkpoint.ipynb ├── svm example must.ipynb └── svm.ipynb ├── Stacking ├── .ipynb_checkpoints │ └── Stacking with mlxtend-checkpoint.ipynb ├── Stacking Example.ipynb └── Stacking with mlxtend.ipynb ├── Time_Series_Analysis ├── AirPassengers.csv └── Time_Series_AirPassenger.ipynb ├── Visualization ├── .DS_Store ├── Matplot lib │ ├── Annotation -Part 3 │ │ ├── Annotatation- Part 3.ipynb │ │ ├── arrows.PNG │ │ └── text alignment.PNG │ ├── Basics of matplot Lib- Part 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