chrisalbon_com
datascience
| chrisalbon_com | datascience | |
|---|---|---|
| 4 | 4 | |
| 0 | 4,104 | |
| - | - | |
| 2.2 | 8.3 | |
| about 1 year ago | about 1 month ago | |
| HTML | ||
| GNU General Public License v3.0 or later | Creative Commons Zero v1.0 Universal |
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chrisalbon_com
- Python for data Science
- Pandas basics
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Who are your data science heroes?
Chris Albon, Director of Machine Learning at the Wikimedia Foundation and creator of Machine Learning Flash Cards.
- How do you save and manage code for reuse?
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
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Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
BoostNote-App - Boost Note is a document driven project management tool that maximizes remote DevOps team velocity.
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
awesome-python-data-science - Probably the best curated list of data science software in Python.
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
gds_course - Geographic Data Science, the course
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
Data-science-best-resources - Carefully curated resource links for data science in one place
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
mlreef - The collaboration workspace for Machine Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.