Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
CrankWheel
Webnexs POS
SellerCloud
Melissa Data Quality
Express Accounts
Zoho SalesIQ
Denali (Cougar)
GuestCentric
Share your screen to any device during a phone call. Just send a link via SMS, email, IM or say the URL to the session.
The viewer enters in seconds with one click. No prompts for registration, installation or downloads.
Features:
Share your entire screen, browser tab or program window
Grant control of the screen to the viewer
Stream HQ videos with sound
See what your viewer is seeing and how they engage with content
Post-session redirect to your landing page
Record your screen and share the recording
CTA widget for warm leads that alerts your sales team the second they request a call
Ideal for selling to hard-to-reach decision-makers such as individuals and small business owners.
Used in verticals where the product is better explained with visuals than words. Insurance sales, solar sales, SaaS sales, selling digital services, mortgage advice, financial services
Scikit-learn CrankWheelCrankWheel's answer:
CrankWheel gives you instant screen sharing. Your viewers just click on a link. There are not pop-ups that nudge them to download an app or register first. You can also record your screen, give control or get electronic signatures in a screen share.
CrankWheel's answer:
CrankWheel is easier to use for everyone and you can share to any device without asking your viewers to download anything.
CrankWheel's answer:
Salespeople who sell to remote clients. Health and Life insurance agents, solar sales agents, digital marketers and people selling home services and consultations to small business owners.
CrankWheel's answer:
An ex-Googler returned home after more than a decade abroad and met a childhood friend with over 15 years of experience in selling insurance over the phone. They decided to develop a solution for salespeople to show their screens without having to go to the prospect's home and show a laptop.
CrankWheel's answer:
CrankWheel is a browser-based screen sharing app that is based on WebRTC.
CrankWheel's answer:
Based on our record, Scikit-learn seems to be more popular. It has been mentiond 40 times since March 2021. 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.
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 1 month 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 / about 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 / about 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 / 4 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Webnexs POS - Webnexs POS is a worldโs most leading and comprehensive POS (point of sale) solution designed to let you sell from your one e-commerce website.
NumPy - NumPy is the fundamental package for scientific computing with Python
SellerCloud - SellerCloud is a multi-channel inventory and order management system.
OpenCV - OpenCV is the world's biggest computer vision library
Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
