sumit-sc / python-fundamentals

Repo to track Python self-study progress and study materials used during DS study including basics, advanced topics and data cleaning - visualization Library.

Python-Fundamentals

Repo to track Python self-study progress and study materials used during DS study including basics, advanced topics and data cleaning - visualization Library.

Project Navigation

Project	README	Notebook
IMDb Top 1000 Movies Visualization	IMDB_Movies_Visualization_info.md	IMDb_Movies_Analysis
Spotify Dataset Analysis	Spotify_Dataset_Analysis_info.md	Spotify_Analysis
Covid19-Vaccination (EDA)	Covid19_Vaccinations-EDA_info.md	Covid19_Vaccinations-EDA
Walmart SampleStore (EDA)	Walmart_Dataset_Analysis_info.md	Walmart_Analysis-EDA

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Boilerplate

Project Organization

├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources(if any)
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── docs               <- Readme files of individual projects.
│
├── notebooks          <- Jupyter notebook file for respective projects.
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials or sources from interent/Case study etc.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data           <- Scripts to download or generate data
│   │   └── make_dataset.py
│   │
│   ├── features       <- Scripts to turn raw data into features for modeling
│   │   └── build_features.py
│   │
│   ├── models         <- Scripts to train models and then use trained models to make
│   │   │                 predictions
│   │   ├── predict_model.py
│   │   └── train_model.py
│   │
│   └── visualization  <- Scripts to create exploratory and results oriented visualizations
│       └── visualize.py
│
└── tox.ini            <- tox file with settings for running tox; see tox.readthedocs.io

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Project based on the cookiecutter data science project template. #cookiecutterdatascience