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Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 11 months ago
Now that I've reached $1,000 MRR, my next big goal is to get 100 paying users in the next 100 days. Source: almost 2 years ago
If you're interested in joining the challenge the signup form and leaderboard are at https://100in100.co/. Source: almost 2 years ago
This month we're hosting a free group challenge for SaaS founders. The goal is simple: get 100 new paying users in 100 days. Source: almost 2 years ago
This last year we went from about 400 members to now over 2,000 (counting by active Slack members). A lot of the growth came from a challenge we ran called 100 users 100 days. The idea of the challenge was to get 100 new paying users in 100 days, with a leaderboard and weekly mastermind sessions for accountability. Definitely hope to run another round of the challenge soon. Source: over 2 years ago
- Try a public challenge like http://100in100.co. You'll get grouped with other entrepreneurs who are learning just like you. - Source: Hacker News / almost 3 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Startup First Users - How billion & million dollar companies got their first users
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GrowthList - A crowd-sourced list of growth hacks
NumPy - NumPy is the fundamental package for scientific computing with Python
#buildinpublic - Discover what people are building in public