BotStar is a messaging platform which allows businesses to engage customers online with Live chat and Chatbots. The company was founded in 2016 with headquarter in Singapore, offices in Melbourne, London and Danang.
I am currently in college and have been using Botstar for over 1 year. For me, learning how to use this platform is quite easy and combined with the promotion, the price is reasonable for students. Thanks to BotStar, I was able to apply chatbot to some SMBs and clubs on campus, thereby developing my relationships and skills.
Pretty good for my business budget. The application of chatbot has helped me reduce a burden when I no longer have to do the same things over and over again.
It can work as a seller with a smooth conversation with predefined data and collected information.
Based on our record, Scikit-learn seems to be a lot more popular than BotStar. While we know about 29 links to Scikit-learn, we've tracked only 1 mention of BotStar. 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.
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 4 days 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 AurΓ©lien GΓ©ron "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 / about 1 year 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
Take a look at BotStar. Can be set up with a full-page interface. You can use it for basic live chat, or you can create very feature-rich automation flows that integrate directly with your other systems. Source: over 3 years ago
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