Zoho Desk Reviews

1. Neha

   | Helpdesk Manager at Tagio | almost 4 years ago
   Excellent Ticketing software with clean interface

   What I like the most is that it really is very intuitive and easy to use. It helps to control the tracking of every ticket in a easy way. Also one can import its customers without any problem. It has many other tools that can be useful regardless the item which company is using on day to day basis. It can start a live chat with the user and can go straight creating a ticket from this internment. Ticket tracking and escalation matrix enables company to track and manages customer complaints on time.

   🏁 Competitors: Zendesk, Jira Service Desk, Vision Helpdesk

   👍 Pros:    Easy user interface|Multiple channels|Knowledge base|Customer support|Highly customizable

   👎 Cons:    Need more image manipulation feature
2. Kassy

   | CXO at Filter Publications | almost 4 years ago
   April 2020 Inexpensive Customer Service Software

   Previous to using Zoho, we were managing all our CS in our email inbox. Items were getting lost or forgotten about and it was driving me crazy. Zoho has an excellent suite of products and this one is no exception! Easy to use (the basics at least). And, it's very inexpensive.

   🏁 Competitors: Zendesk, Salesforce Service Cloud

   👍 Pros:    Easy user interface|Great customer support|Highly customizable

   👎 Cons:    Few features are in beta
3. Vincy Dahiya

   | Co-Founder at SMBCon | almost 4 years ago
   Vincy Dahiya

   Previous to using Zoho, we were managing all our CS in our email inbox. We used Zoho Desk when starting out when we needed a way to manage customer support outside of email. Zoho Desk is a basic customer support software - great that there is a free version for starting out.

   🏁 Competitors: Zendesk

   👍 Pros:    Easy to handel software setup|Easy to use interface|Automation and custom functions|24/7 support (chat and phone)

Scikit-learn Reviews

Zoho Desk mentions (1)

• Free for dev - list of software (SaaS, PaaS, IaaS, etc.)

  Desk — Customer Support management with 3 agents and private knowledge base, email tickets. Integrates with Assist for 1 remote technician & 5 unattended computers. - Source: dev.to / almost 3 years ago

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  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

• Link Prediction With node2vec in Physics Collaboration Network

  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 / 12 months ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  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

• PSA: You don't need fancy stuff to do good work.

  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

• Help on using R for Machine Learning?

  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