Get latest visa requirements and document checklist for different countries. Check if you can travel visa free or visa is required. Also find travel information for these countries
Visa List will help you find visa requirements for almost any country in the world. Moreover, it seems to have up to date data and the interface is easy to use and navigate.
Based on our record, Scikit-learn should be more popular than Visa List. 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.
I read a lot of articles on Google but did not save them. Pretty much every article on the first page when searching Programmatic SEO on google. One trick I learned is to research some other sites that are doing a pretty good job doing PSEO. For instance, https://visalist.io/ nomadlist. Go to their site and pull the sitemap and study what kind of programmatic pages they created. Another thing, maybe more important... Source: over 1 year ago
Https://visalist.io/ - Learn about all the various visa requirements. Travel advice, restrictions, lockdowns, and a ton more. Source: about 2 years ago
I noticed you said, "I'm now spending just 10% of my time to maintain and fix bugs", but for your website https://visalist.io, how do you make sure the info displayed on your website regarding the different travel rules stays updated, because I guess these rules change very frequently now a days with covid. - Source: Hacker News / over 2 years ago
* Daily goal - $500/day reached in Dec [Visa List](https://visalist.io) * Revenue - $50K/year (39% ▲). - Source: Hacker News / over 2 years ago
The website category is Travel and Visa related, Visa List. I'm currently using Adsense. I have tried some optimizations but I think there is huge potential but can't seem to unlock it. My current stats per month are. Source: almost 3 years 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 / 16 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
TravelScope - Interactive worldmap of visa-free travel
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
TripsGuard - COVID19 travel restrictions worldwide
OpenCV - OpenCV is the world's biggest computer vision library
Covid-19 Controls - Lockdown measures and tourists restrictions around the world
NumPy - NumPy is the fundamental package for scientific computing with Python