Botpress
Dialogflow
Microsoft Bot Framework
Chatfuel
ChatBot
ManyChat
rasa NLU
Amazon Lex
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
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Botpress Scikit-learnBased on our record, Scikit-learn should be more popular than Botpress. 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.
We are seeking an experienced Botpress bot developer to integrate an existing chatbot with our ITOP system for agent routing. The chatbot is already developed and can handle customer inquiries, but we need an integration that will route customers to the appropriate ITOP agent who is currently logged in. Source: about 1 year ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago
Greetings! My gf is working on a chatbot project and is responsible for designing the phrases and its behaviours using the Botpress (https://botpress.com/) platform for WhatsApp API. Source: over 2 years ago
Ever read an article that made you switch to Google and search for that secret programming word or jargon? Like you have no clue what the author is talking about in his post. This happened to me when I started coding my first Amazon Alexa Skill. If you are also one of those guys who is getting started with conversational AI, then this short read can be very useful to you. This post will help you understand the... - Source: dev.to / almost 3 years ago
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 / 2 months ago
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
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
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
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
Dialogflow - Conversational UX Platform. (ex API.ai)
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Microsoft Bot Framework - Framework to build and connect intelligent bots.
OpenCV - OpenCV is the world's biggest computer vision library
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
NumPy - NumPy is the fundamental package for scientific computing with Python