involve.me
Typeform
Outgrow
Jotform
Opinion Stage
Wufoo
Formstack
Stripe
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
involve.me is a tool that helps companies to boost online conversions. It is a powerful no-code funnel builder designed to guide & score visitors on your website and turn them into qualified leads. Companies can create these interactive funnels from scratch using templates, or leveraging involve.meโs AI builder. These funnels personalize the lead generation process through a variety of interactive elements. Form, survey, calculator and quiz elements can be strung together in a drag & drop editor to build multi-step user flows. Funnels can easily be embedded into websites & used as stand-alone landing pages. These interactive funnels can then be seamlessly integrated with existing sales & marketing tools such as Salesforce, HubSpot, Mailchimp, ActiveCampaign & more. This creates an effortless flow in your funnel allowing companies to focus solely on converting qualified leads.
involve.me Scikit-learninvolve.me's answer
involve.me uses AI across the entire form building process. Using involve.me you can utilize AI to create, personalize and analyze forms for any business and use case.
involve.me's answer
involve.me's editor is intuitive, easy to use and does not require any technical knowledge. You can create on-brand forms in no time and tackle complex use cases. Using AI, the process of creating a new form, survey or quiz is fast and simple. Additionally, there are plenty integrations available out of the box and a large template library to get you up to speed with any form, quiz or survey you have in mind.
involve.me's answer
Business across the board use involve.me to boost their online data collection and improve lead generation.
Based on our record, Scikit-learn seems to be a lot more popular than involve.me. While we know about 40 links to Scikit-learn, we've tracked only 2 mentions of involve.me. 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.
- Mobile friendly ( I have tried involve.me which I loved but the form is super strange on mobile.). Source: over 3 years ago
I've had pretty good success with Facebook for these kind of user surveys, find a group or groups of the type of users you want to work with and check with the mods/rules that its ok to post surveys. I then use something like typeforms or involve.me to host my questions and make sure there are a few "qualifying" questions throughout the survey to later filter out responses that are a bad fit. Source: about 4 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
Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Outgrow - Enabling marketers boost conversion with interactive, beautiful & viral quizzes/calculators.
NumPy - NumPy is the fundamental package for scientific computing with Python
Jotform - Free Online Form Builder & Form Creator
OpenCV - OpenCV is the world's biggest computer vision library