What is Caret and what are its top alternatives?
Top Alternatives to Caret
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. ...
It gives you a seamless experience as both a reader and a writer. It removes the preview window, mode switcher, syntax symbols of markdown source code, and all other unnecessary distractions. Replace them with a real live preview feature to help you concentrate on the content itself. ...
MacDown is an open source Markdown editor for OS X, released under the MIT License. It is heavily influenced by Chen Luo’s Mou. ...
Markdown parser done right. Fast and easy to extend. Supports the CommonMark spec + syntax extensions + sugar (URL autolinking, typographer). ...
When current available Markdown editors are almost all for general writers, Mou is different: It's for web developers. Syntax highlighting, live preview, sync scroll, fullscreen mode, auto save, powerful actions, auto pair, custom themes and CSS, HTML and PDF export, enhanced CJK support. ...
Marp is the simplest presentation writer with Markdown.
It is a web-based slides maker and presenter. It's designed for developers to focus on writing content in Markdown while also having the power of HTML and Vue components to deliver pixel-perfect layouts and designs with embedded interactive demos in your presentations. ...
It is a Markdown-based document format and a framework for content publishing. It was designed internally at Stripe to meet the needs of our user-facing product documentation. It extends Markdown with a custom syntax for tags and annotations, providing a way to tailor content to individual users and introduce interactive elements. ...
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Should I continue learning Django or take this Spring opportunity? I have been coding in python for about 2 years. I am currently learning Django and I am enjoying it. I also have some knowledge of data science libraries (Pandas, NumPy, scikit-learn, PyTorch). I am currently enhancing my web development and software engineering skills and may shift later into data science since I came from a medical background. The issue is that I am offered now a very trustworthy 9 months program teaching Java/Spring. The graduates of this program work directly in well know tech companies. Although I have been planning to continue with my Python, the other opportunity makes me hesitant since it will put me to work in a specific roadmap with deadlines and mentors. I also found on glassdoor that Spring jobs are way more than Django. Should I apply for this program or continue my journey?
Hi, I wanted to jump into Machine Learning.
I first tried brain.js, but its capabilities are very limited and it abstracts most concepts of ML away. I've tried TensorFlow, but it's very hard for me to understand the concepts.
Now, I thought about trying NumPy or scikit-learn, but I don't really know much about ML, but still want to use 100% Power of ML.
What do you recommend me to use as a beginner in ML?
Also do you know any good tutorials which explain how ML works and how to implement it in a given framework (ideal in german)?
Thanks for your attention & help :D
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