Todoist Reviews

Scikit-learn Reviews

Todoist mentions (131)

• Show HN: Godspeed is a fast, 100% keyboard oriented todo app for Mac

  I'm curious how this is better than (or even significantly different to) Todoist [1], a well-established cross platform application which also supports natural language task creation [2] and a keyboard-driven workflow [3]. [1]: https://todoist.com/. - Source: Hacker News / 4 months ago

• Top Shared To-Do List Apps for Couples in 2024: Streamline Your Tasks Together

  Todoist is renowned for its simplicity and powerful task management features, making it one of the best shared to-do list apps for couples in 2024. Whether it's managing household tasks or planning a big event, Todoist helps couples stay organized and focused. - Source: dev.to / 4 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Todoist.com — Collaborative and individual task management. The free plan has: 5 active projects, five users in the project, file uploading up to 5MB, three filters, and one week of activity history. - Source: dev.to / 5 months ago

• Todoist REST V2 Action for Custom GPT's - Github.com

  The official Todoist website can be found at https://todoist.com, and information about OpenAI is available at https://openai.com. The names Todoist and OpenAI as well as related names, marks, emblems, and images are registered trademarks of their respective owners. Source: 8 months ago

• 25 Best Productivity Apps: 2023 Review Guide

  Tired of juggling endless to-do lists and struggling to stay organized? Todoist streamlines your task management with its user-friendly interface, allowing you to effortlessly create, categorize, and prioritize your daily tasks. There are many to-do list apps out there, but Todoist is one of the best. Beyond personal efficiency, Todoist is also a great collaborative tool for teams, with shared tasks, real-time... - Source: dev.to / 11 months ago

Scikit-learn mentions (29)

• 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 / 22 days 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 / 4 months 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 / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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