SaveMyLeads VS Scikit-learn

SaveMyLeads Reviews

1. Marie    

   Head of Marketing at Pricer24 | 5 months ago
   SML helps me not miss potential clients

   SaveMyLeads is a very useful and comfortable service. I have been using it for more than 4 months to transfer leads from Facebook to Discord. Data is not lost during the transfer and arrives on time—after filling out a lead form on the social network. Setting up the integration was easy. Moreover, the developers took care of creating a video tutorial that gives a step-by-step algorithm for setting up. The usability of the interface is also high level. Everything is accessible and understandable.

   👍 Pros:    Reliability of the service, excellent usability of the interface, ease of setup, no errors in data transfer

   👎 Cons:    I didn't notice any cons. everything suits me.
2. Anna    

   Business Development Representative | Marketing Assistant at SDH | 5 months ago
   SML simplifies order processing

   We use this connector to automatically process orders. We connected integrations for the SMS service, CRM and Slack channel. As a result, we received automatic SMS sending to new clients, automatic transfer of all necessary data to the CRM and Slack.

3. Mykhailo    

   Outreacher at AdmixGlobal | 5 months ago
   Good for automation

   We needed a solution to automate the transfer of contacts from Facebook to the GetResponse database. We didn’t want to bother with API integration, so we looked for a suitable no-code service. SaveMyLeads did not disappoint - everything was extremely simple, fast and accessible.

   🏁 Competitors: Zapier

Scikit-learn Reviews

SaveMyLeads mentions (0)

Scikit-learn mentions (27)

• 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 / 11 months 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: 12 months 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: 12 months ago

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago