├── .gitignore ├── README.md ├── semester_1 └── Machine_Learning │ ├── AppliedMachineLearning │ ├── AlgorithmComparison.ipynb │ ├── AlgorithmSelection.ipynb │ ├── DataPreparation │ │ └── DataPreparation.ipynb │ ├── ExploratoryAnalysis │ │ ├── DescriptiveStatistics.ipynb │ │ ├── ExploratoryAnalysis.ipynb │ │ ├── PeekAtData.ipynb │ │ └── Visualisation.ipynb │ ├── HyperparameterOptimisation.ipynb │ └── ProjectTemplate.ipynb │ ├── Clustering │ ├── Hierarchical_Clustering.ipynb │ └── K-Means.ipynb │ ├── DecisionTrees │ └── DecisionTrees.ipynb │ ├── Ensembles │ ├── Ensembles.ipynb │ └── XGBoost.ipynb │ ├── EvaluationMeasures │ ├── Evaluation methods │ │ ├── Leave_One_Out_Cross-Validation.ipynb │ │ ├── Repeated Random Test-Train Splits.ipynb │ │ ├── Train_test_Split.ipynb │ │ └── k-cross-fold-validation.ipynb │ ├── Evaluation metrics │ │ └── Precision_Recall_F1.ipynb │ └── ROC- PRC │ │ ├── ROC and Precision-Recall Curves.ipynb │ │ └── ROC.ipynb │ ├── FeatureSelection │ └── FeatureSelection.ipynb │ ├── KNN │ └── knn-demo.ipynb │ ├── LogisticRegression │ ├── Regression_LogisticRegressionCostFunction.ipynb │ ├── Regression_MatrixMultiplication.ipynb │ └── plot_iris_logistic.ipynb │ ├── NaiveBayes │ ├── DecisionTree-LearningValidationCurves.ipynb │ ├── DecisionTreeOverfitting.ipynb │ └── SimpleNaiveBayesExample.ipynb │ ├── Regression │ ├── Regression_LinearRegression.ipynb │ ├── Regression_LossOverEpochsAndPredictionError.ipynb │ └── Regression_SquaredError.ipynb │ ├── SVM │ └── Support Vector Machines.ipynb │ ├── Sampling │ ├── Near-Miss Undersampling.ipynb │ ├── plot_comparison_over_sampling.ipynb │ └── plot_illustration_generation_sample.ipynb │ └── datasets │ ├── README.md │ ├── Wholesale_customers_data.csv │ ├── bike-sharing-dataset │ ├── Readme.txt │ ├── day.csv │ └── hour.csv │ ├── digit_recognizer_dataset.csv │ ├── housing.csv │ ├── housing.data │ ├── housing.names │ ├── iris.data │ ├── iris.names │ ├── pima_indians_diabetes.csv │ ├── seeds_dataset.txt │ ├── winequality-red.csv │ ├── winequality-white.csv │ └── winequality.names ├── semester_2 └── Natural_Language_Analytics │ ├── Exercise_2-TwitterSentimentAnalysis │ └── data │ │ ├── twitter-2013train-A.tsv │ │ ├── twitter-2015train-A.tsv │ │ ├── twitter-2016dev-A.tsv │ │ ├── twitter-2016devtest-A.tsv │ │ ├── twitter-2016test-A.tsv │ │ └── twitter-2016train-A.tsv │ ├── Lecture_13-IntroductionDeepLearnng │ ├── MLP Embeddings.ipynb │ └── Multi-layered Perceptron.ipynb │ └── Lecture_2-Morphology │ └── Morphology-NLTK.ipynb └── semester_3 └── Deep_Learning └── Laboratory ├── Add Support for Additional Functions.ipynb ├── Chapter13 - Intro to Automatic Differentiation.ipynb ├── Pytorch_1_tensor_tutorial.ipynb ├── Pytorch_2_autograd_tutorial.ipynb ├── Pytorch_3_neural_networks_tutorial.ipynb ├── Pytorch_4_cifar10_tutorial.ipynb ├── Recurrent Neural Network Layer.ipynb ├── Use Autograd to Train a Neural Network.ipynb └── tasksv11 └── en └── 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