Harvest has significantly improved our workflow. Its reporting make project management a breeze.
A nice simple interface and plenty of rich features really make this application essential.
Has a lot of features when compared to it's competitors out there.
Based on our record, Scikit-learn should be more popular than Harvest. It has been mentiond 28 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.
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 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 / 12 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: about 1 year 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: about 1 year 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
If that’s not enough, I’ve had good experience with http://getharvest.com (and accompanying tools from them). Source: about 1 year ago
Https://getharvest.com/ : time tracker for contract work. Source: about 1 year ago
I use getharvest.com to track hourly and convert them to invoice. The only thing I don't like is that I have to add the task in the web dashboard rather than entering directly in the desktop app. There is 'note' field, but it won't show up in the invoice detail, so it is useless for me. Source: about 1 year ago
I think for your business the best way to go is with a premade app for time logs and invoicing. My wife uses Harvest for her business: https://getharvest.com. Source: about 1 year ago
I use Harvestto invoice and track time. You can also use QuickBooks. Source: about 1 year ago
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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.
OpenCV - OpenCV is the world's biggest computer vision library
RescueTime - Time management software that shows you how you spend your time & provides tools to help you be more productive.
NumPy - NumPy is the fundamental package for scientific computing with Python
Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.