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Scikit-learn
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LiveAgent is a fully-featured omnichannel help desk software that offers an all-in-one help desk solution for businesses of all sizes and types. LiveAgent's core strength is the ability to integrate multiple communication channels such as email, live chat, phone support, social media but also rarely integrated channels like WhatsApp, Instagram and Viber.
LiveAgent boasts the fastest live chat widget on the market and over 180+ additional features, including ticketing, automation, tags, a customer portal and more. LiveAgent's pricing plans are smart - they enable you to pay for only what you use. Save money and time with LiveAgent.
LiveAgent is used by over 15,000 businesses worldwide including Forbes, Yamaha, eSky and Huawei. It has served over 150M end-users worldwide. Join them in providing world-class customer service. Start your free 30-day trial now, no contracts or credit card required.
LiveAgent Scikit-learnLiveAgent's answer
LiveAgent stands out with its ultra-fast performance, robust ticketing system, and user-friendly interface. It is a scalable solution equipped with over 180+ features and 200+ integrations, capable of growing as your customer service needs expand.
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LiveAgent offers 24/7 availability, an exceptional 20-second average response time, and extraordinary usability. Suitable for any type of business, its unbeatable value for money makes it a top choice for reliable and efficient customer service.
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Our primary audience consists of businesses of all sizes seeking to enhance their customer service experience. This includes startups, SMEs, and large corporations across various industries.
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Born out of the need for better customer interactions, LiveAgent was founded in 2004. Driven by the philosophy 'to treat customers as people, not tickets,' we've grown into a leading customer service solution.
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As a cloud-based solution, LiveAgent employs cutting-edge technologies to ensure a fast, secure, and reliable customer service platform. Our intricate infrastructure guarantees optimal functionality and high performance at all times.
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Renowned brands like Huawei, Yamaha, BMW, and Oxford University are proud users of LiveAgent, trusting us for world-class customer service.
LiveAgent has been a game-changer for our customer support operations. Its intuitive platform streamlined our ticket management, reduced response times by 40%, and empowered our team to focus on high-impact tasks. The automation features and omnichannel integration have elevated team productivity and customer satisfaction—a must-have for scaling tech-driven businesses.
Based on our record, Scikit-learn seems to be more popular. It has been mentiond 31 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.
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
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 / 11 months 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 / about 1 year 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 / almost 2 years ago
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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
OpenCV - OpenCV is the world's biggest computer vision library
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
NumPy - NumPy is the fundamental package for scientific computing with Python