Code for Sacramento

Introduction

This repository contains my projects for Code for Sacramento with focus on data science.

Code for Sacramento is a Code for America brigade which volunteers its time to develop projects for non-profits and local municipalities using open-source technologies.

New to Code4Sac?

If you are new to our brigade, then please join our Slack channel!

If you are new to data science, then please check out links below:

Getting Started:

1. Data Camp: Intro to Data Science and Concepts
2. Coursera: Data Analysis Courses
3. edX: Data Analysis and Statistics Courses

Tools:

1. Kaggle Notebooks: Free Jupyter Notebook Environment
2. Google Colaboratory: Free Jupyter Notebook Environment
3. Jupyter Notebooks: Free Jupyter Notebook Environment and Viewer
4. Azure ML Studio: Free ML Workflow Tool

Open Data:

1. CA Open Data Portal
2. CA Open Geoportal
3. Code for America

Textbooks:

1. Open Intro Statistics: Free Online Textbook
2. ISLR - Introductory ML: Free Online Textbook
3. ESLR - Intermediate ML: Free Online Textbook

Methodology

Appropriate technologies, tools and analytical methods are selected for each project. Results are documented within README and notebook documentation.

Installation and Citations

Each project has specific installation instructions and citations within the readme document. For Jupyter Notebook projects, package installation script is available in the root folder of this repo so please refer to it if running Jupyter on your system.