Based on our record, Cal.com should be more popular than Scikit-learn. It has been mentiond 53 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.
Cal.com is an open-source event-juggling scheduler for everyone, and is free for individuals. - Source: dev.to / 4 months ago
I force clients who want to talk to me to book a call. I use cal.com (free) and my Google Calendar (which its linked to) only allows calls on specific days/times. I have a few "Call Blocks" where they can book. That let's me do calls in a small section of my week, with ample downtime to recover the rest of the week. I'm still learning how many calls a day I can handle. Currently anything more than 2 is too much. Source: 7 months ago
Cal.com- Cal.com is a scheduling tool that helps you schedule meetings without the back-and-forth emails. - Source: dev.to / 7 months ago
Has any one deployed cal.com with selfhosted environment. Is yes how would have configured prisma for the same. Source: 9 months ago
Recently I came across a company called cal.com, it's a Calendly alternative, but the catch is the entire software is open source: https://github.com/calcom/cal.com. Source: 9 months ago
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 / 20 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
TidyCal - Optimize your schedule with custom booking pages and calendar integrations
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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.
OpenCV - OpenCV is the world's biggest computer vision library
SavvyCal - A scheduling tool both the sender and the recipient will love.
NumPy - NumPy is the fundamental package for scientific computing with Python