
Kaggle
Colaboratory
Driven Data
HackerRank
Numerai
DataSource.ai
Infosec Skills
DataHack & DSAT
Startup Buffer
Product Hunt
BetaList
StartupBase
Startup Stash
PitchWall
SaaSHub
AlternativeTo
Startup Buffer is a premium startup directory that provides quality exposure to startups. It has a good amount of followers on social media and offers premium services. They also share various resources for startups to help them get better at startup marketing.
Kaggle
Startup BufferStartup Buffer is recommended for early-stage startups that are looking for cost-effective ways to increase visibility and reach a broader audience. It is particularly suited for startups without large marketing budgets or those that are just beginning to build their online presence. Additionally, entrepreneurs who value community feedback and networking may find it beneficial.
An alternative place to get some visitors to your site. I tried the paid listing feature and to be honest it worths the money, instead of waiting for months to get published.
Based on our record, Kaggle seems to be a lot more popular than Startup Buffer. While we know about 103 links to Kaggle, we've tracked only 2 mentions of Startup Buffer. 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
Startup Buffer - Broadening the audience for new startups. - Source: dev.to / almost 3 years ago
Appreciate it if you could mention Startup Buffer. Keep up the good work! Source: about 4 years ago
Colaboratory - Free Jupyter notebook environment in the cloud.
Product Hunt - A website that lets users share and discover new products
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.
BetaList - BetaList provides an overview of upcoming internet startups. Discover and get early access to the future.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
StartupBase - Launch and discover new products every day ๐