data-science-toolbox 0.1.2

Various code to aid in data science projects for tasks involving data cleaning, ETL, EDA, NLP, viz, feature engineering, feature selection, model validation, etc.

data-science-toolbox

Various code to aid in data science projects for tasks involving data cleaning, ETL, EDA, NLP, viz, feature engineering, feature selection, model training and validation etc.

Project Organization

---

├── README.md              
├── data_science_toolbox   <- Project source code
│   │
│   ├── gists                  <- Code gists with commonly used code (change to root
│   │                             directory, connect to database, profile data, etc)
│   ├── io                     <- Code for input/output utilities
│   ├── etl                    <- For building reproducible ETL pipelines, including data
│   │                             checks and transformers
│   ├── ml                     <- Machine Learning utility code (feature engineering, etc) 
│   ├── pandas                 <- Pandas related utility code
│   │   ├── analysis                  
│   │   ├── cleaning
│   │   ├── engineering
│   │   ├── text    
│   │   ├── datetime     
│   │   ├── optimization       
│   │   └── profiling   
│   ├── project_utils.py   <- For project specific utilities
│   │
│   ├── text               <- Code for dealing with text. Includes distributed loading of text corpus, 
│   │                         entity statement extraction, sentiment analysis, pii removal etc.
│   └── __init__.py        <- Makes data_science_toolbox a Python module               
├── tests
├── LICENSE
├── poetry.lock
└── pyproject.toml