CircleBoom
HootSuite
Buffer
Flamingo for Twitter
Missinglettr
Tweeticide
Smart Post
Tweet Sponge
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
Exploratory
htm.java
Circleboom is a "Social Media Management" tool that enables users, brands, and SMBs to grow and strengthen their social networks.
Circleboom Twitter Account Management: user analytics, follower insight, social media manager, Delete tweet services. Smart search features.
Circleboom Publish: Twitter, Facebook, Linkedin, Google my Business, Instagram Schedule/Publish Tool. Social media planner and scheduler.
CircleBoom Scikit-learnNo features have been listed yet.
I and many of my colleagues use Circleboom to handle our Twitter accounts, and we are very happy with the consistency of its delete and scheduling software. As a result, I would strongly recommend it to anyone who wants to better organize their Twitter profile!
Circleboom provides better and more advanced features than Twitter Analytics, especially in terms of detailed and specialized audience insights.
Based 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 / 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: 12 months 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
HootSuite - Enhance your social media management with Hootsuite, the leading social media dashboard. Manage multiple networks and profiles and measure your campaign results.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Buffer - Buffer makes it super easy to share any page you're reading. Keep your Buffer topped up and we automagically share them for you through the day.
OpenCV - OpenCV is the world's biggest computer vision library
Flamingo for Twitter - Flamingo for Twitter is a bright and colorful Twitter client that comes with a simple interface.
NumPy - NumPy is the fundamental package for scientific computing with Python