Based on our record, WakaTime should be more popular than Scikit-learn. It has been mentiond 44 times since March 2021. 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.
Wakatime.com — Quantified self-metrics about your coding activity using text editor plugins, limited plan for free. - Source: dev.to / 3 months ago
Hi Hackers, One year ago I posted[0] on HN[1] about writing my own replacement for Celery, a background task queue for Python. WakaQ has been running in production[2] for over a year, and it's performed flawlessly. I've even been able to reduce the amount of worker machines needed, saving compute costs, even though the number of tasks executed has increased over time. Now I'm starting a new Next.js project using... - Source: Hacker News / 7 months ago
WakaTime is committed to making time tracking fully automatic for every programmer. By creating opensource plugins for IDEs and text editors, it gives powerful insights about how you code. It is possible now demonstrate these statistics in your GitHub profile. What’s next? Next up, showcase your skills, awards, and certifications. - Source: dev.to / 7 months ago
Building a daily habit to learn or code is essential. In a while, you don’t ask yourself what to do in the next 30 minutes you have. You open the terminal / IDE and practice. I used WakaTime to track my coding time and set a goal of one hour daily. - Source: dev.to / 10 months ago
Why do they all redirect to https://wakatime.com/. - Source: Hacker News / 11 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ManicTime - Track your computer usage and use collected data to accurately tag time.
OpenCV - OpenCV is the world's biggest computer vision library
Clockify - Simple and free time tracker. Perfect for small and mid-sized businesses as well as freelancers. Unlimited projects and users, unlimited productivity. Get all the premium functionalities, completely free.
NumPy - NumPy is the fundamental package for scientific computing with Python