WordCounter.net
Word Counter
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Wordcounter for Google Docs
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machine-learning in Python
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WordCounter.netWordCounter.net is recommended for writers, students, educators, content creators, and professionals who require a dependable tool for checking word and character counts, as well as those who need insights into keyword density and readability for improved writing quality.
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Based on our record, WordCounter.net seems to be a lot more popular than machine-learning in Python. While we know about 120 links to WordCounter.net, we've tracked only 7 mentions of machine-learning in Python. 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.
* fulfil a personal user need that the existing alternatives (such as https://wordcounter.net/ or select-and-count on MS Word/Google Docs) didn't quite capture in the way I needed. If you're curious, my use case was writing an application that required an exact overall count, but split unequally among 4 sections. Comments, feedback, questions, feature requests, unlikely monetisation ideas โ all very welcome. - Source: Hacker News / 11 months ago
There will be two winners (two who guess the number or two closest) and everyone else will be required to leave at least 100 words of reviews across both of the winner's fics. You can use https://wordcounter.net/ to make sure your comment/s meet the quota, some other wordcounter sites may give false info. Source: almost 3 years ago
As big as a number that is, I know how easy it is to get past it... From personal experience. There are sites like this (Wordcounter.net) that let you count the words and characters. Some writing programs even have a built in ones, please keep track of it. I will be checking the numbers before I read each one. Source: almost 3 years ago
Heres a free website that lets you see the amount of times words are used and the lsi keywords and long tail words that are used and how many times: Https://wordcounter.net/. Source: about 3 years ago
There will be two winners (two who guess the number or two closest) and everyone else will be required to leave at least 100 words of reviews across both of the winner's fics. You can use https://wordcounter.net/ to make sure your comment/s meet the quota, some other wordcounter sites may give false info. Source: about 3 years ago
After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 3 years ago
Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 3 years ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally wonโt make you hireable unless youโre doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: over 4 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 4 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 4 years ago
Word Counter - A simple, beautiful word and character counter
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Word Count Tools - The must-have free word counter that provides an extensive report about the word count, character count, keyword density, readability & many other useful stats.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Convert Case - Instantly convert text to UPPERCASE, lowercase, Title Case, sentence case, and more - free, fast, and no sign-up required.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
