Based on our record, Scikit-learn should be more popular than LanguageTool. 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.
You could check for spelling mistakes first with something like https://languagetool.org/de. Source: over 1 year ago
I prefer https://www.deepl.com/ and https://languagetool.org/de might be also helpful. Source: over 1 year ago
I was already used to wiggly lines in my favorite IDE IntelliJ and really missed the spell and grammar check capabilities in other editors especially when writing something in the browser. A colleague told me that IntelliJ is using LanguageTool since I'm pretty satisfied with the analysis inside it. Therefore, I looked around on GitHub for a way of hosting my own LanguageTool server. I came across this... - Source: dev.to / about 2 years ago
Hi. Maybe before posting on r/WriteStreakGerman and getting a proper correction you could check the writing on these sites (LanguageTool, Duden-Mentor), to catch some of the possible errors. Regarding shyness, put anonymity to good use. Source: over 2 years ago
The LanguageTool extension is decent and picks up on a lot of mistakes, but nowhere close to all of them. For example, it will identify if you wrote an article that can never go with a given noun (like "der Auto"), but will not recognize a case error (like using "das Auto" in Dativ). It will also often pick up on things like comma mistakes. 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
Grammarly - Clear, effective, mistake-free writing everywhere you type.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Ginger - Powerful and effortless desktop & mobile solutions for improving your writing and productivity. Ginger Software is your personalized editor - everywhere you go.
OpenCV - OpenCV is the world's biggest computer vision library
ProWritingAid - For the smarter writer. A grammar checker, style editor, and writing mentor in one package.
NumPy - NumPy is the fundamental package for scientific computing with Python