This repo includes slides and sample codes in DSD's bootcamp
The folders are described as following:
- Introduction_to_Big_Data_Predictive_Analytics_and_Data_Science (pre-bootcamp)
- Data_Mining_Fundamentals (pre-bootcamp)
- Introduction_to_R_Programming (pre-bootcamp)
- Datasets
The data sets used in the bootcamp. - Introduction
- Data_Exploration_and_Visualization
- R_Markdown
- Decision_Tree
- Logistic_Regression
- Evaluating_Machine_Learning_Models
- Linear_Regression
- Regularized_Regression
- Unsupervised_Learning
- Ensemble_Methods
- Naive_Bayes_Classifier
- Recommender_Systems
- Azure_Labs
- Fundamentals_of_Big_Data_Engineering
- NoSQL_Databases
- Online_Experimentation_and_AB_Testing
- Stream_Processing_and_Event_Ingestion
- Hack_Day
- Course Outline.pdf
- Bootcamp Software and Hardware.pdf
- Resources