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 | Concept                               | Details                                                                                                                |\n|:---:|:-------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------:|\n| 1   | **Exploratory Data Analysis (EDA) \u0026 Visualization**  |  |\n| 2   | **Supervised Learning \u0026 Data Preprocessing** |  |\n| 3   | **Linear Regression/Classification \u0026 Support Vector Machine(SVM)**     | [Logistic Regression](https://github.com/EesunMoon/Applied_Machine_Learning/blob/main/Assignment/HW1_%5Bem3907%5D.ipynb) Data Visualization and Analysis\u003cbr\u003eLinear Models for Regression and Classification\u003cbr\u003eSupport Vector Machines |\n| 4   | **Trees, Ensembles, Random Forest, Boosting**           | [Ensemble Method](https://github.com/EesunMoon/Applied_Machine_Learning/blob/main/Assignment/HW2_%5Bem3907%5D.ipynb) \u003cbr\u003eDecision Trees\u003cbr\u003eRandom Forests\u003cbr\u003eGradient Boosted Trees |\n| 5   | **Model Evaluations**| |\n| 6   | **Model Interpretation, Feature Selection, Dimensionality Reduction, Clustering** | |\n| 7   | **Imbalanced/Sparse Data**            | [Imbalanced Data](https://github.com/EesunMoon/Applied_Machine_Learning/blob/main/Assignment/HW3_%5Bem3907%5D.ipynb) \u003cbr\u003eImbalanced Data(Oversampling / Undersampling / SMOTE)\u003cbr\u003eModel Prediction \u0026 Evaluation - AUC Scores / Confusion Matrix / ROC Curves |\n| 8   | **Deep Neural Networks (DNN)**       |  |\n| 9   | **Convolutional Neural Networks (CNN) \u0026 Recurrent Neural Networks (RNN)**       | [Neural Networks](https://github.com/EesunMoon/Applied_Machine_Learning/blob/main/Assignment/HW4_%5Bem3907%5D.ipynb) Convolutional Neural Networks |\n| 10  | **Text Data Preprocessing \u0026 Embedding**       | [Text Classification](https://github.com/EesunMoon/Applied_Machine_Learning/blob/main/Assignment/HW5_%5Bem3907%5D.ipynb) Text Preprocessing (nltk) |\n| 11  | **Recommender System**       |  |\n| 12  | **ML Production**       |  |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feesunmoon%2Fapplied_machine_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feesunmoon%2Fapplied_machine_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feesunmoon%2Fapplied_machine_learning/lists"}