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DoltHub KaggleBased on our record, Kaggle seems to be a lot more popular than DoltHub. While we know about 99 links to Kaggle, we've tracked only 6 mentions of DoltHub. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are other ways to share this data other than CSVs on GitHub. Kaggle has been mentioned here in the past. There's also dolthub.com where you can make the data available as a SQL queryable dataset. It's "Git for data". Might be nice to host it somewhere where answers to questions like "what was SPY's closing price on 2010-01-27" can be more easily obtained. Source: about 1 year ago
The database world has been slow to follow. But it is getting there, TerminusDB is one database with version control features. There are others like Dolt, Planetscale, and Liquibase that extend the functionality of other databases. - Source: dev.to / about 2 years ago
Why not share the data with something like dolthub.com ? They have stock price, option price, and earnings databases. Source: about 2 years ago
Most of the data on dolthub.com is Creative Commons licensed so use it as you'd like. Source: over 2 years ago
Just looked up dolthub.com, what does it do exactly? Source: over 2 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: 11 months ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: 11 months ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: 11 months ago
Take a loot at the Open Images dataset or Kaggle. Source: 11 months ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: 12 months ago
Activeloop - Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
Colaboratory - Free Jupyter notebook environment in the cloud.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
Geektastic - Geektastic is a platform that manages peer reviewed code challenges supported by a community of qualified software engineers.
