ramikrispin/atsaf

Applied Time Series Analysis and Forecasting

Hi there, I'm Rami

I'm a data science manager and an open-source contributor. I mainly write code with Python, R and bash, occasionally I do HTML, CSS, and currently I am learning JavaScript and Julia.

I enjoy teaching data science in production, MLOps, and Docker. You can find some of my tutorials on GitHub (see tutorial sections below) and Medium. I recently released a course - Data Pipeline Automation with GitHub Actions Using R and Python with LinkedIn Learning.

Here is some of the stuff I enjoy doing:

• Time series analysis and forecasting
• Put stuff in production
• Work with data and APIs
• Machine learning
• Bayesian statistic
• Data visualization
• Maps

🔗  I am also on:

Main projects

Courses

Books

Tools for time series analysis and forecasting, and datasets:

Tutorials

atsaf's Issues

Introduction chapter

• Chapter intro
• What is time series?
• Scope
• Use cases
• Datasets

Create a data package

Data requirements
Frequency:

• Hourly
• Daily
• Monthly
• Quarterly

Structure:

• Seasonal
• Multiple seasonal
• Linear trend
• Non-linear trend

Resources

• EIA API
• FRED
• SF Data Portal

EIAapi - new functions

• query
• get
• batch

VScode settings

• Radian is not launched with devcontainer.
• Set vscode-R extension, reference: https://github.com/REditorSupport/vscode-R/wiki/Extension-settings

Set project license

Set project license file/documentation

https://creativecommons.org/licenses/by-nc-sa/4.0/

Set Quarto book template

Set book template

Set image cover

Docker - new packages

• data.table
• devtools

Docker - New Packages

CRAN

• readr

CLI

• curl

EIAapi documentation

Create package documentation:

• API dashboard
• Simple query
• Using arguments
• batch pull

Set social media

• Twitter
• Telegram
• Facebook (?)
• Instagram (?)

Docker development environment - set documentation

• Installing Docker
• Pulling the project image
• Setting RStudio environment
• Setting VScode environment

Docker

Add the following packages:

• pkgdown
• orca - https://github.com/plotly/orca#installation

Prerequisites

• Chapter intro
• Packages requirements
• Docker settings

Set book Welcome/Preface chapters

• Set book Welcome chapter
• Set book Preface chapter

Table of Content

• Preface (V1)
• Introduction (V1)
• Prerequisites (V1)
• Dates and Times Objects (V1)
• The ts Class (V1)
• The timetk Class (V5)
• The tsibble Class (V1)
• Working with APIs (V2)
• Seasonal Analysis (V1)
• Correlation Analysis (V1)
• Cluster Analysis (V2)
• Smoothing Methods (V1)
• Time Series Decomposition (V1)
• Forecasting Strategies (V2)
• Forecasting with Smoothing Models (V2)
• Time Series Properties (V2)
• Forecasting with ARIMA Models (V2)
• Forecasting with Linear Regression Model (V2)
• Forecasting with GLM Model (V3)
• Forecasting with GAM Model (V3)
• Forecasting with Bayesian Methods (V4)
• Forecasting with Machine Learning Methods (V5)
• Forecasting with Deep Learning Methods (V5)
• Forecasting at Scale (V6)
• Forecasting in Production (V6)

EIA API query package

Create a function to query the EIA API V2

Reference: https://www.eia.gov/opendata/

Shinylive POC

Embedding Shinylive app in quarto doc

Dockerize the project

Create a docker framework for the project

• RStudio server
• VScode
• Radian
• Packages json
• Bash automation
• Quarto

Sprint plan 2022Q4

Seek & Destroy Oct 9th - Oct 22nd
The Call of Ktulu Oct 23rd - Nov 5th
Orion Nov 6th - Nov 19th
One 20th - Dec 3rd
Whenever I May Roam Dec 4th - Dec 17th
The Outlaw Torn Dec 18th - Dec 31st