Microsoft Power Automate Reviews

Scikit-learn Reviews

Microsoft Power Automate mentions (31)

• Is there any open source no code workflow tool?

  Hi, I am trying to build a no code tool workflow tool with blocks and connections between the blocks. Similar to power automate: https://powerautomate.microsoft.com/en-us/. Source: almost 2 years ago

• Spreadsheet: export link in CSV

  Windows has an option called Power Automate https://powerautomate.microsoft.com/en-us/ that allows for, well automating such tasks as manually copying / pasting data https://learn.microsoft.com/en-us/power-automate/getting-started. Source: almost 2 years ago

• My coworkers and I have decided to start filling out the forms

  Try to use automation to fill it out ( https://powerautomate.microsoft.com/en-us/ for example). Source: almost 2 years ago

• Automating my monkey job

  Https://powerautomate.microsoft.com/en-us/ might be something worth checking out if you have access. Source: almost 2 years ago

• Should I quit learning Python?

  What is it that you actually want to achieve? Learning Python should have an overarching goal. Like being a programmer. If you would rather not be a programmer, and you don't like programming, but you would like to automate certain things on your PC, you might as well download and install https://powerautomate.microsoft.com/en-us/ . If you intend to understand, or work with, Big Data or AI, then Python totally is... Source: about 2 years ago

Scikit-learn mentions (31)

• Must-Know 2025 Developer’s Roadmap and Key Programming Trends

  Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago

• 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖

  Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago

• Essential Deep Learning Checklist: Best Practices Unveiled

  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 / 11 months ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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 / about 1 year ago

• Link Prediction With node2vec in Physics Collaboration Network

  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 / almost 2 years ago