ptyadana
diff --git a/‎ML - Applied Machine Learning Foundation/01.ML Basic/ML Basic - demo only.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/01.ML Basic/ML Basic - demo only.ipynb b/‎ML - Applied Machine Learning Foundation/01.ML Basic/ML Basic - demo only.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/01.ML Basic/ML Basic - demo only.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/01.EDA & Cleaning - Exploring continuous features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/01.EDA & Cleaning - Exploring continuous features.ipynb b/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/01.EDA & Cleaning - Exploring continuous features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/01.EDA & Cleaning - Exploring continuous features.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/02.EDA & Cleaning - Cleaning continuous features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/02.EDA & Cleaning - Cleaning continuous features.ipynb b/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/02.EDA & Cleaning - Cleaning continuous features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/02.EDA & Cleaning - Cleaning continuous features.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/03.EDA & Cleaning - Exploring categorical features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/03.EDA & Cleaning - Exploring categorical features.ipynb b/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/03.EDA & Cleaning - Exploring categorical features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/03.EDA & Cleaning - Exploring categorical features.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/04.EDA & Cleaning - Cleaning the categorical features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/04.EDA & Cleaning - Cleaning the categorical features.ipynb b/‎ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/04.EDA & Cleaning - Cleaning the categorical features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/02.Exploratory Data Analysis and Data Cleaning/04.EDA & Cleaning - Cleaning the categorical features.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/03.Evaluation - Measuring Success/Evaluation - Measuring Success.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/03.Evaluation - Measuring Success/Evaluation - Measuring Success.ipynb b/‎ML - Applied Machine Learning Foundation/03.Evaluation - Measuring Success/Evaluation - Measuring Success.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/03.Evaluation - Measuring Success/Evaluation - Measuring Success.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/01.Pipeline - Clean Continuous Features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/01.Pipeline - Clean Continuous Features.ipynb b/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/01.Pipeline - Clean Continuous Features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/01.Pipeline - Clean Continuous Features.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/02.Pipeline - Clean Categorical Features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/02.Pipeline - Clean Categorical Features.ipynb b/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/02.Pipeline - Clean Categorical Features.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/02.Pipeline - Clean Categorical Features.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/03.Pipeline - Split data into train, validation, and test set.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/03.Pipeline - Split data into train, validation, and test set.ipynb b/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/03.Pipeline - Split data into train, validation, and test set.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/03.Pipeline - Split data into train, validation, and test set.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/04.Pipeline - Fit a basic model.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/04.Pipeline - Fit a basic model.ipynb b/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/04.Pipeline - Fit a basic model.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/04.Pipeline - Fit a basic model.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/05.Pipeline - Tune hyperparameters.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/05.Pipeline - Tune hyperparameters.ipynb b/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/05.Pipeline - Tune hyperparameters.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/05.Pipeline - Tune hyperparameters.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/06.Pipeline - Evaluate results on validation set.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/06.Pipeline - Evaluate results on validation set.ipynb b/‎ML - Applied Machine Learning Foundation/05.End to End Pipeline/06.Pipeline - Evaluate results on validation set.ipynb renamed to ‎ML - Applied Machine Learning - Foundation/05.End to End Pipeline/06.Pipeline - Evaluate results on validation set.ipynb
diff --git a/‎ML - Applied Machine Learning Foundation/Data/test_features.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/test_features.csv b/‎ML - Applied Machine Learning Foundation/Data/test_features.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/test_features.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/test_labels.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/test_labels.csv b/‎ML - Applied Machine Learning Foundation/Data/test_labels.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/test_labels.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/titanic.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/titanic.csv b/‎ML - Applied Machine Learning Foundation/Data/titanic.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/titanic.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/titanic_cleaned.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/titanic_cleaned.csv b/‎ML - Applied Machine Learning Foundation/Data/titanic_cleaned.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/titanic_cleaned.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/train_features.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/train_features.csv b/‎ML - Applied Machine Learning Foundation/Data/train_features.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/train_features.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/train_labels.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/train_labels.csv b/‎ML - Applied Machine Learning Foundation/Data/train_labels.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/train_labels.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/val_features.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/val_features.csv b/‎ML - Applied Machine Learning Foundation/Data/val_features.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/val_features.csv
diff --git a/‎ML - Applied Machine Learning Foundation/Data/val_labels.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/val_labels.csv b/‎ML - Applied Machine Learning Foundation/Data/val_labels.csv renamed to ‎ML - Applied Machine Learning - Foundation/Data/val_labels.csv
diff --git a/‎ML - Applied Machine Learning Foundation/img/CV_image.png renamed to ‎ML - Applied Machine Learning - Foundation/img/CV_image.png b/‎ML - Applied Machine Learning Foundation/img/CV_image.png renamed to ‎ML - Applied Machine Learning - Foundation/img/CV_image.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/_DS_Store renamed to ‎ML - Applied Machine Learning - Foundation/img/_DS_Store b/‎ML - Applied Machine Learning Foundation/img/_DS_Store renamed to ‎ML - Applied Machine Learning - Foundation/img/_DS_Store
diff --git a/‎ML - Applied Machine Learning Foundation/img/clean_data.png renamed to ‎ML - Applied Machine Learning - Foundation/img/clean_data.png b/‎ML - Applied Machine Learning Foundation/img/clean_data.png renamed to ‎ML - Applied Machine Learning - Foundation/img/clean_data.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/eval_metrics.png renamed to ‎ML - Applied Machine Learning - Foundation/img/eval_metrics.png b/‎ML - Applied Machine Learning Foundation/img/eval_metrics.png renamed to ‎ML - Applied Machine Learning - Foundation/img/eval_metrics.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/evaluate_on_validation.png renamed to ‎ML - Applied Machine Learning - Foundation/img/evaluate_on_validation.png b/‎ML - Applied Machine Learning Foundation/img/evaluate_on_validation.png renamed to ‎ML - Applied Machine Learning - Foundation/img/evaluate_on_validation.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/final_model_selection.png renamed to ‎ML - Applied Machine Learning - Foundation/img/final_model_selection.png b/‎ML - Applied Machine Learning Foundation/img/final_model_selection.png renamed to ‎ML - Applied Machine Learning - Foundation/img/final_model_selection.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/fit_model.png renamed to ‎ML - Applied Machine Learning - Foundation/img/fit_model.png b/‎ML - Applied Machine Learning Foundation/img/fit_model.png renamed to ‎ML - Applied Machine Learning - Foundation/img/fit_model.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/hyperparameters.png renamed to ‎ML - Applied Machine Learning - Foundation/img/hyperparameters.png b/‎ML - Applied Machine Learning Foundation/img/hyperparameters.png renamed to ‎ML - Applied Machine Learning - Foundation/img/hyperparameters.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/split_data.png renamed to ‎ML - Applied Machine Learning - Foundation/img/split_data.png b/‎ML - Applied Machine Learning Foundation/img/split_data.png renamed to ‎ML - Applied Machine Learning - Foundation/img/split_data.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/train_v_test.png renamed to ‎ML - Applied Machine Learning - Foundation/img/train_v_test.png b/‎ML - Applied Machine Learning Foundation/img/train_v_test.png renamed to ‎ML - Applied Machine Learning - Foundation/img/train_v_test.png
diff --git a/‎ML - Applied Machine Learning Foundation/img/tune_hyperparameters.png renamed to ‎ML - Applied Machine Learning - Foundation/img/tune_hyperparameters.png b/‎ML - Applied Machine Learning Foundation/img/tune_hyperparameters.png renamed to ‎ML - Applied Machine Learning - Foundation/img/tune_hyperparameters.png
diff --git a/‎ML - Breast Cancer Classification Project - SVM/Breast_Cancer_Classification_Project.ipynb renamed to ‎Project - Breast Cancer Classification Project - SVM/Breast_Cancer_Classification_Project.ipynb b/‎ML - Breast Cancer Classification Project - SVM/Breast_Cancer_Classification_Project.ipynb renamed to ‎Project - Breast Cancer Classification Project - SVM/Breast_Cancer_Classification_Project.ipynb
diff --git a/‎ML - Breast Cancer Classification Project - SVM/ribbon.jpg renamed to ‎Project - Breast Cancer Classification Project - SVM/ribbon.jpg b/‎ML - Breast Cancer Classification Project - SVM/ribbon.jpg renamed to ‎Project - Breast Cancer Classification Project - SVM/ribbon.jpg
diff --git a/‎ML - Classification Modelling with Iris flowers/01_eda.ipynb renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/01_eda.ipynb b/‎ML - Classification Modelling with Iris flowers/01_eda.ipynb renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/01_eda.ipynb
diff --git a/‎ML - Classification Modelling with Iris flowers/02_model_fit.ipynb renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/02_model_fit.ipynb b/‎ML - Classification Modelling with Iris flowers/02_model_fit.ipynb renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/02_model_fit.ipynb
diff --git a/‎ML - Classification Modelling with Iris flowers/03_performance.ipynb renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/03_performance.ipynb b/‎ML - Classification Modelling with Iris flowers/03_performance.ipynb renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/03_performance.ipynb
diff --git a/‎ML - Classification Modelling with Iris flowers/Data/Iris.csv renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/Data/Iris.csv b/‎ML - Classification Modelling with Iris flowers/Data/Iris.csv renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/Data/Iris.csv
diff --git a/‎ML - Classification Modelling with Iris flowers/course.txt renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/course.txt b/‎ML - Classification Modelling with Iris flowers/course.txt renamed to ‎Project - Classification Modelling with Iris flowers - Pinata Data/course.txt