Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Landbot
Chatfuel
ChatBot
ManyChat
Intercom
Botsify
Drift
Tars
Landbot is a user-friendly no-code solution for creation of conversational apps which are a natural evolution of chatbots. Conversational apps combine benefits of an interactive conversational interface with rich UI elements while automating advanced data workflows like business applications. Hence, they address business needs on both the communication and process automation level. In a nutshell, with or without NLP, Landbot helps you optimize every stage of the customer journey from lead generation to customer support on the web, WhatsApp or Messenger - without coding.
Scikit-learn LandbotBased on our record, Scikit-learn seems to be more popular. 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.
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
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: about 1 year 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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
OpenCV - OpenCV is the world's biggest computer vision library
ChatBot - Easy to use chatbot platform for business
NumPy - NumPy is the fundamental package for scientific computing with Python
ManyChat - ManyChat lets you create a Facebook Messenger bot for marketing, sales and support.
