WATI VS Scikit-learn

Compare WATI VS Scikit-learn and see what are their differences

Freshdesk

Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community featured

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WATI

No-code chatbot builder for WhatsApp Business

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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2023-08-22

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2022-05-06

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Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

Category Popularity

0-100% (relative to WATI and Scikit-learn)

WATI

Scikit-learn

Customer Support

100 100%

Customer Support

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

100 100%

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using WATI and Scikit-learn. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare WATI and Scikit-learn

WATI Reviews

13 Best Apps Like Replika & Similar AI Chatbot Apps

This app offers services from a chatbot to take care of your WhatsApp that serves as a customer service. Thus, if you are relying on that thing for your business then you can try Wati, for sure.

Source: www.regendus.com

Scikit-learn Reviews

15 data science tools to consider using in 2021

Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than WATI. It has been mentiond 28 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.

WATI mentions (3)

Verifying a nemployers business for whatsapp API via Meta business Suite
I am looking to use an API service for Whatsapp wati.io is looking like the most appropriate for us at the moment. Source: about 1 year ago
APIs/Saas for building chat bots?
I'm busy doing WhatsApp integration for my CRM using a platform called WATI. Source: over 2 years ago
Offical WhatsApp API
I could find wati.io. Any thing else you guys know ? Source: over 2 years ago

Scikit-learn mentions (28)

How to Build a Logistic Regression Model: A Spam-filter Tutorial
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
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 / 12 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: about 1 year 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: about 1 year 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