├── 04.3 - Simple Linear Regression ├── Simple Linear Regression.ipynb └── WeatherData.csv ├── 04.5 - Multiple Linear Regression ├── Multiple Linear Regression.ipynb └── WeatherDataM.csv ├── 04.7 - Polynomial Regression ├── .ipynb_checkpoints │ └── Polynomial Regression-checkpoint.ipynb ├── Polynomial Regression.ipynb └── WeatherDataP.csv ├── 07.2 - Logistic Regression ├── Logistic Regression .ipynb ├── weatherAlbury.csv └── weatherObs.xlsx ├── 08.2 - K-Means Clustering ├── IrisData.csv └── K-means Clustering example.ipynb ├── 08.4 - Hierarchical Clustering ├── .ipynb_checkpoints │ └── Hierarchical Clustering Example Code-checkpoint.ipynb ├── Hierarchical Clustering Example Code.ipynb └── IrisData.csv ├── 08.6 - DBSCAN ├── DBSCAN.ipynb └── Fish.csv ├── 09.2 - Support Vector Machines ├── Support Vector Machine Example.ipynb ├── apples_and_oranges.csv └── dataset_link.txt ├── 09.4 - Non-Linear Support Vector Machines ├── SVM2.ipynb └── pulsar_data.csv ├── 10.2 - Evaluating Regression Models ├── Evaluating Regression Models.ipynb └── Fish.csv ├── 10.4 - Evaluating Classification Models ├── Evaluating Classification Algorithms.ipynb └── pulsar_data.csv ├── 11.2 - Decision Trees ├── .ipynb_checkpoints │ └── Decision Trees in Python-checkpoint.ipynb ├── Decision Trees in Python.ipynb └── heart_disease_dataset.csv ├── 11.4 - Random Forest Classifier ├── Random Forest Classifier.ipynb └── rice_dataset.csv ├── 11.6 - Gradient Boosted Trees for Regression ├── Gradient Boosted Trees for Regression in Python.ipynb └── diamonds.csv ├── 11.8 - Gradient Boosted Trees for Classification ├── Gradient Boosted Trees for Classification.ipynb └── heart.csv ├── 12.2 - Hyperparameter Optimisation ├── Hyperparameter Optimization.ipynb └── pulsar_data.csv ├── 13.2 - Neural Networks ├── Implementing a Neural Network in Python using Sklearn.ipynb └── water_potability.csv ├── 14.2 - Feature Importance ├── Feature Importance in Python.ipynb └── water_potability.csv ├── 15.2 - Handling Missing Data ├── Fish.csv └── How to Handle Missing Data in Python.ipynb ├── 16.2 - Handling Imbalanced Data ├── Dealing with Imbalanced Data.ipynb └── stroke.csv ├── 17.2 - Time Series Linear Regression ├── Linear Regression With Time Series.ipynb ├── delete.txt └── weather_ts.csv ├── Project 1 - Linear Regression Weather ├── .ipynb_checkpoints │ └── Data Science Project 1 - Predicting Weather Data-checkpoint.ipynb ├── Data Science Project 1 - Predicting Weather Data.ipynb ├── README └── weatherHistory.csv ├── Project 2 - Logistic Regression Weather ├── .ipynb_checkpoints │ └── Logistic Regression Project 2-checkpoint.ipynb ├── Logistic Regression Project 2.ipynb └── weatherAUS.csv ├── Project 3 - Clustering Mixed Medical Data ├── Clustering Mixed Data.ipynb └── heart_failure_clinical_records_dataset.csv ├── Project 4 - Gradient Boosted Trees Water Quality ├── Predicting Water Quality.ipynb └── water_potability.csv ├── Project 5 - Time Series Forcasting Weather ├── Machine Learning for Time Series Forecasting.ipynb ├── weather_ts_test.csv └── weather_ts_train.csv ├── Project 6 - Deep Learning in Blood Spectroscopy ├── Data │ └── Blood_spectroscopy_ldl.csv ├── Deep Learning in Blood Spectroscopy.ipynb └── Images │ ├── DL.jpg │ ├── HP.jpg │ ├── OHE.jpg │ ├── SHAP.jpg │ ├── Thumbnail.png │ ├── blood_spec.jpg │ ├── cover.jpg │ ├── project_flow.jpg │ └── table_libraries.jpg └── README.md /04.3 - Simple Linear Regression/Simple Linear Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mazen-ALG/data-science/HEAD/04.3 - Simple Linear Regression/Simple Linear Regression.ipynb -------------------------------------------------------------------------------- /04.3 - Simple Linear Regression/WeatherData.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mazen-ALG/data-science/HEAD/04.3 - Simple Linear Regression/WeatherData.csv -------------------------------------------------------------------------------- /04.5 - Multiple Linear Regression/Multiple Linear Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Mazen-ALG/data-science/HEAD/04.5 - 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