
Kaggle
Colaboratory
Driven Data
HackerRank
Numerai
DataSource.ai
Infosec Skills
DataHack & DSAT
Savee
Raindrop.io
AWS Snowball
Martechbase
Ethereum
My Mind
Zluri
Cubiloon
In today's business landscape, it's more important than ever for companies to scale rapidly and efficiently. However, this can be difficult when teams are siloed, and goals are disconnected. This leads to bloated technology footprints and unnecessary spending.
Savee is a VendorOS that helps businesses overcome these issues. It identifies vendor overlaps and potential compliance issues while uncovering cost savings and managing the approval and renewal processes. This helps savvy business leaders scale rapidly and efficiently.
To get started with Savee, simply visit the website and create an account. From there, you can browse the list of vendors and see how they can help your business save money.
Benefits of using Savee include: - Reduced spending on unnecessary technology products - Faster identification of vendor overlap and cost savings - Easier management of technology Vendor Relationships - Easier renewal management - Better visibility into company-wide spending on technology products
Kaggle
SaveeBased on our record, Kaggle seems to be a lot more popular than Savee. While we know about 103 links to Kaggle, we've tracked only 2 mentions of Savee. 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.
A good example: the results we published are one-shot success rates with no retries and no manual intervention. But we did re-run some failed tasks afterward. Take Task #197 on kaggle.com ("Identify the ongoing competition that offers the highest prize and find the code that received the most votes in that competition"). In our benchmark submission, it failed on an anti-bot block. On a subsequent run, TinyFish... - Source: dev.to / 3 months ago
The key to mastering data analysis is practice. Kaggle.com and World Bank provide hands-on experience with real-world data, helping you consolidate your learning and apply your skills. Trying small projects like: Analyzing Netflix ratings, Visualizing COVID-19 data and Cleaning messy sales data in Excel can help strengthen your skill. - Source: dev.to / about 1 year ago
Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / over 1 year ago
Kaggle: For data science and machine learning competitions. - Source: dev.to / about 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: about 3 years ago
Tell me what you think, also poke at it.. I have a bug list I'm addressing but could use more insights. https://besavee.com. Source: almost 4 years ago
Tell me what you think. https://besavee.com. Source: almost 4 years ago
Colaboratory - Free Jupyter notebook environment in the cloud.
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
Driven Data - DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
AWS Snowball - AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS cloud.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Martechbase - A searchable database of 7,000+ marketing tools