Data-Science-Roadmap
awesome_time_series_in_python
| Data-Science-Roadmap | awesome_time_series_in_python | |
|---|---|---|
| 4 | 2 | |
| 2,853 | 1,998 | |
| - | - | |
| 8.7 | 0.0 | |
| 5 months ago | about 1 year ago | |
| MIT License | - |
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Data-Science-Roadmap
- Road map data science/ machine learning
- Mudança de carreira- programação
-
Career Roadmaps
Data science: https://github.com/Moataz-Elmesmary/Data-Science-Roadmap
- Data-Science-Roadmap: Data Science Roadmap from A to Z
awesome_time_series_in_python
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What's the best resource to learn time series analysis?
Just stumbled upon this GitHub repo - Awesome Time Series in Python. It's mostly for different Python libraries that can be used for time series analysis, but I thought it would still be useful. It also has some tutorials, data sets, one free course, etc. I think it's worth checking out!
- Help with multiple time series forecasting
What are some alternatives?
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
htsprophet - Hierarchical Time Series Forecasting using Prophet
stat-cookbook - :orange_book: The probability and statistics cookbook
datascience - Curated list of Python resources for data science.
Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Data-science-best-resources - Carefully curated resource links for data science in one place
Portfolio-Guide - A guide and summary to my projects and case studies.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
www.mlcompendium.com - The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
Mathematics-for-ML - 🧮 A collection of resources to learn mathematics for machine learning