Data Science / Machine Learning / Supervised Learning
projects from the udacity data science nano degree program
- Project_Charity_ML - Capstone Project
- Linear Regression from Sklearn
- Multi-variable Linear Regression
- Polynomial Regression
- Regularization with Lasso
- Feature Scaling & Lasso
- Decision Trees
- Titanic survival with Decision Trees
- Spam filter with Naive Bayes
- Tuning the Support Vector Machine (SVM)
- Bagging, Random Forest, AdaBoost - Spam filter
- Train / Test split
- Classification scoring metrics - accuracy_score, precision_score, recall_score, f1_score
- Regression scoring metrics - r2_score, mean_squared_error, mean_absolute_error
- Model selection using Learning Curves
- Model tuning / CV with Grid Search
- Diabetes case study - Exploring, Tuning, RandomSearchCV, FeatureImportance