A project template to quick start data analytics and machine learning task.

It is convenient to adopt a good project structure having support of git when starting with a project for data analysis and machine learning. This project is made for Visual Studio Code (vscode) but can be used in any IDE.

1. Jupyter Notebook
2. Pandas
3. matplotlib
4. numpy
5. seaborn
6. data directory git ignored
7. module finder for code sharing

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• Janishar Ali
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1. Install Conda - Instructions Here
2. Install vscode (optional) - Download Here
3. Clone this repo
4. src/example/data/archive.zip - unzip for testing
5. Run src/example/main.ipynb
6. Get started with your own project 🥳

1. Open Command Palette
2. Select Tasks: Run Task
3. Select Template: Generate Analysis Module
4. Enter the name of a new module directory
5. The template directory is generated in the src directory with the given name
6. Start working on the task

.
├── .git
├── .gitignore
├── .templates
├── .vscode
└── src
    ├── example
    │   ├── .gitignore
    │   ├── __module_finder__.py
    │   ├── data
    │   │   ├── Churn_Modelling.csv
    │   │   └── archive.zip
    │   └── main.ipynb
    └── utils
        ├── __init__.py
        └── display.py

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   Copyright (C) 2022 JANISHAR ALI ANWAR
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at
       https://www.apache.org/licenses/LICENSE-2.0
   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.