Looking back at the times when we used to exchange 10 emails to find a time to meet feels like the dark ages. But we have a long way to go. The scheduling tools of today put the burden on the recipient, which can be even more inconvenient than trading emails in the first place. We believe using a scheduling tool should be just as easy for the recipient as it is for the sender.
Why the folks you’re sending your scheduling link to will love SavvyCal:
Why you’ll be glad you switched to SavvyCal:
Based on our record, Scikit-learn should be more popular than SavvyCal. It has been mentiond 29 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.
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 23 days ago
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 / 4 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 / about 1 year 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
Not sure! Perhaps this could work https://www.startbooking.com/ or this https://savvycal.com/. Source: over 1 year ago
I use SavvyCal to allow clients to schedule meetings with me. It integrates all of my calendars: iCloud, Google, Microsoft. So clients always see when I’m busy and when I’m available, according to all of those calendars. Source: over 1 year ago
Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 1 year ago
I built something like for a University many years ago, but I don't believe what you're looking for exists in the market. You can look at https://savvycal.com/ but it won't be free. Source: almost 2 years ago
Oh and savvycal.com to manage the booked calls & meetings reminders. Source: almost 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.
OpenCV - OpenCV is the world's biggest computer vision library
TidyCal - Optimize your schedule with custom booking pages and calendar integrations
NumPy - NumPy is the fundamental package for scientific computing with Python
Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.