Any.DO
Todoist
Remember The Milk
Trello
TickTick
Things
Asana
Google Tasks
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Scikit-learnAny.DO is recommended for individuals looking for a straightforward task management solution, busy professionals needing to organize work and personal tasks, and those who benefit from collaborative features for team projects.
Any.DO might be a bit more popular than Scikit-learn. We know about 46 links to it since March 2021 and only 40 links to Scikit-learn. 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.
Best thing it has over any.do is that you have 3 types of entities: tasks, recurring tasks and habits. Source: about 3 years ago
I used to use any.do + loop habit, but Habitnow has features from both of them. Source: about 3 years ago
A. Add reminders to the simple todo list in notion (so I can use it instead of any.do etc). Source: about 3 years ago
Has anyone found a workaround to keep using google home assistant to add tasks? The only one I found was to use any.do via zapier, but that only works with a $3 month subscription to any.do , which I definitely don't want to pay. Source: about 3 years ago
You know I tried a lot of things, todoist, any.do, meistertasks, notion, one note, google keep, microsoft excel, taskade and everything had some problem/flaw where I felt missing. I am still using google keep, all my raw material and quick thoughts are in it, but it cannot handle huge lists and starts becoming slow. It is just good for few lines. One note is also good but tagging and filters are not possible. I... Source: over 3 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
Todoist - Todoist is a to-do list that helps you get organized, at work and in life.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Remember The Milk - Remember The Milk is a task and time management application for mobile devices.
NumPy - NumPy is the fundamental package for scientific computing with Python
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
OpenCV - OpenCV is the world's biggest computer vision library
