PANDAS-TUTORIAL
practical-data-engineering
| PANDAS-TUTORIAL | practical-data-engineering | |
|---|---|---|
| 4 | 4 | |
| 158 | 449 | |
| - | 5.3% | |
| 4.0 | 7.7 | |
| 6 months ago | about 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PANDAS-TUTORIAL
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The Machine Learning Project Lifecycle
✨ Thanks for reading 😀 Follow me on YouTube, Twitter, Instagram, Medium, Tiktok
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✨ 5 Open Source Data Engineering Projects 🔥
✨ Follow me Twitter | Instagram | YouTube| Tiktok | Medium for more content on data engineering.
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
🚀 We create content on data science and machine learning. For more content follow Twitter| Instagram | YouTube | Tiktok | Medium 😎
- Associate Data Scientist @ IBM?
practical-data-engineering
- Show HN: Hands-On Data Engineering with a Real-Estate Project Guide
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What's your favorite end-to-end tech stack?
Or in a side project: I combined an extensive amount of tools for web-scraping real-estates, uploading them to S3 with MinIO, Spark, and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualizing dashboards with Superset and managing everything with Dagster (blog, github)
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✨ 5 Open Source Data Engineering Projects 🔥
2️⃣ Building a Data Engineering Project in 20 Minutes
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Building a Data Engineering Project in 20 Minutes
The source-code you can find on practical-data-engineering for the data pipeline or in data-engineering-devops with all it’s details to set things up. Although not all is finished, you can observe the current status of the project on real-estate-project.
What are some alternatives?
100-Days-Of-ML-Code - 100 Days of ML Coding
faros-community-edition - BI, API and Automation layer for your Engineering Operations data
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
ngods-stocks - New Generation Opensource Data Stack Demo
pandas_exercises - Practice your pandas skills!
open-data-stack - Open Data Stack Projects: Examples of End to End Data Engineering Projects
Data-Engineering-Projects - Personal Data Engineering Projects
data-engineering-devops - Full stack data engineering tools and infrastructure set-up
HashtagCashtag - My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on lambda architecture, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - Apache Kafka for data ingestions, Apache Spark & Spark Streaming for batch & real-time processing, Apache Cassandra f or storage, Flask, Bootstrap and HighCharts f or frontend.
py - Repository to store sample python programs for python learning