Software Alternatives, Accelerators & Startups

Haptik.ai VS Scikit-learn

Compare Haptik.ai VS Scikit-learn and see what are their differences

Haptik.ai logo Haptik.ai

Haptik builds Intelligent Virtual Assistant solutions that enhance customer experience and drive ROI for large brands.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Haptik.ai Landing page
    Landing page //
    2023-10-14

Haptik has built its platform on the back of having done it ourselves while building the entire AI product suite independently for each specific use case. We build from within the enterprise, leveraging the benefits of a long-term alliance with one of the world¿s largest conglomerates and provide a home-grown, real-time analytics platform with a dedicated Business Intelligence team. Haptik also has an automated conversational testing platform that enables real time improvements to the AI.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Haptik.ai

Website
haptik.ai
$ Details
-
Platforms
Windows Android iOS Mac OSX Google Chrome Firefox Safari Cross Platform JavaScript
Release Date
2013 February
Startup details
Country
India
State
Maharashtra
City
Mumbai
Founder(s)
Aakrit Vaish
Employees
100 - 249

Haptik.ai videos

Haptik - Transforming Customer Experiences with Conversational AI

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Haptik.ai and Scikit-learn)
Chatbots
100 100%
0% 0
Data Science And Machine Learning
Customer Support
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 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.

Haptik.ai mentions (0)

We have not tracked any mentions of Haptik.ai yet. Tracking of Haptik.ai recommendations started around Mar 2021.

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    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 / 13 days ago
  • 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 / 4 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 / about 1 year 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
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What are some alternatives?

When comparing Haptik.ai and Scikit-learn, you can also consider the following products

WATI - No-code chatbot builder for WhatsApp Business

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Verloop - Verloop is a multi-channel customer support and engagement automation chat system.

OpenCV - OpenCV is the world's biggest computer vision library

Gallabox - A single, collaborative conversational workspace, Gallabox integrates WhatsApp Business APIs into a shared multi-agent inbox for team members. With the help of our WhatsApp Chatbots, provide your business with the necessary 24x7 customer support.

NumPy - NumPy is the fundamental package for scientific computing with Python