Pipedrive
Zoho CRM
Freshsales CRM
Copper
SugarCRM
Insightly
Alore CRM
Base CRM
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business. Sign up for a 14-day free trial.
Pipedrive Scikit-learnPipedrive is recommended for small to medium-sized businesses (SMBs) and sales teams seeking a straightforward, affordable, and efficient tool to manage and improve their sales operations. Particularly, it suits teams that prioritize visual sales pipelines and require an easy learning curve.
We adopted Pipedrive for our sales team because we were looking for a CRM that was sales focused and didn't come with all the other unnecessary features and complexity of other solutions. We have been very happy with Pipedrive and our sales team consistently have good things to say about it. More importantly though our sales team do actually add and update the data which had been a problem with our previous CRM which was too complex and cumbersome to get regular useage. The reporting functionality is good too and I can get a clear view on deals and where they are up to.
Pipedrive has made our business much more efficient in following up deals. Keep track of deals, meetings, mails and phone calls all in one place. We can quickly follow up on offers and used Pipedrive's automations and API to integrate our Vizito trials directly into Pipedrive.
It offers the most flexibility while maintaining an easy-to-use interface and their support is superb!
Keep up the great work!
All alternatives are good but we prefer Pipedrive because of its great customization and most fit for company/business development.
Based on our record, Scikit-learn seems to be a lot more popular than Pipedrive. While we know about 40 links to Scikit-learn, we've tracked only 2 mentions of Pipedrive. 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.
I feel like Microsoft could offer a more robust CRM than what's present with 'Contacts' under Outlook, and pretty easily. Something like Pipedrive... I mean it could syncronize all the datapoints that local Microsoft programs already have access to: mail, contacts, projects, teams, and LinkedIn. Source: over 3 years ago
Pipedrive โ our CRM for tracking leads, tasks, conversations, and deals. We chose Pipedrive because it does a good job of providing an intuitive and relatively simple CRM while still having enough features to track our sales conversations. Pricing is accessible. Source: over 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 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 / 2 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
Zoho CRM - Omnichannel CRM for Businesses of all sizes
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Freshsales CRM - A full-fledged CRM for high-velocity sales teams.
NumPy - NumPy is the fundamental package for scientific computing with Python
Copper - Copper (formerly ProsperWorks) is easy-to-use customer relationship management for small businesses. Capture contacts and sales leads direct from Gmail with our simple CRM.
OpenCV - OpenCV is the world's biggest computer vision library
