Scikit-Learn Experts Team:</br>Consulting, Development, Support

Scikit-Learn Experts Team:
Consulting, Development, Support

Get the benefit of our experience and knowledge of applying scikit-learn algorithms incorporated with NumPy and SciPy libraries to take your company to the forefront of innovation

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Who we are

ActiveWizards machine learning company is a team of professional data scientists, engineers and analysts with a broad experience of implementing scikit-learn for various tasks. Our knowledge, skills, and expertise will help to unlock the value of data for the benefit of your business.

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Technologies

Python is a programming language that lets you work quickly and integrate systems more effectively

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.

An open source machine learning framework for everyone.

Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.

NumPy is the fundamental package for scientific computing with Python.

Pandas is a software library written for the Python programming language for data manipulation and analysis.

SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.

Case studies

Engineering Intelligence in Action

Real-Time Anomaly Detection for Patient Data Security

We built an AI-powered security platform for a healthcare startup that analyzes user activity logs in real time to detect and alert on suspicious behavior, protecting sensitive patient data.

High-Throughput Real-Time Facial Recognition Platform

We built a highly scalable platform that processes millions of real-time video streams, using deep learning and a distributed architecture to perform facial recognition with over 97% accuracy.

AI-Powered Data Governance & Security Platform

We developed an intelligent platform that automatically classifies unstructured data in over 70 languages, predicts its confidentiality level, and enforces data governance policies to meet GDPR requirements.