dotDataPy is a rich and scalable Python library that enables advanced users to access dotData’s data science automation functionality – including AI-powered feature engineering and automated machine learning – with just a few lines of Python code.
AutoML & Data Science Automation Library for Python
Simple Integration, Powerful Features
dotDataPy can be easily integrated with Jupyter notebooks and other Python development environments, enabling users to leverage the advanced Python ecosystem fully, including rich visualization like Matplotlib and Plotly, state-of-the-art machine learning/deep learning tools like scikit-learn, Spark MLlib, PyTorch, and TensorFlow, as well as flexible DataFrames like pandas and PySpark.
The AI-powered features can be easily plugged into customized ML algorithms, enabling advanced users to further refine their models and extract new business insights.
All the Power of dotData
dotDataPy is designed to provide all the power of our award-winning enterprise platform in a python library that is designed to fit within the workflow and environment preferred by most data scientists. You still benefit from the same intelligent feature engineering automation and machine learning automation technology in a package that fits in the workflow you love.
The AutoML algorithm explores not only machine learning algorithms, but also feature preprocessing methods such as missing value imputation, outlier filtering, and standardization. In conjunction with AI-powered feature engineering, dotDataPy automates and streamlines the end-to-end data science process on a single environment as a one-stop-shop.
Highly Accuracy, Greater Transparency
dotDataPy’s automated machine learning conducts hundreds of trials to finely tune state-of-the-art machine learning algorithms (including proprietary ones) for the best accuracy in various optimization criteria. The fully-automated process frees up the time and resources of data scientists and gives them the freedom to produce high-quality machine learning models, thus enabling teams to execute more data science projects than ever before.
Data Science Automation Industry Solutions
Artificial Intelligence and Machine Learning can provide immense benefits to businesses across many industries. dotData’s products have been deployed in a multitude of use-cases across a broad spectrum of industries to help accelerate data science, improve performance and allow businesses to democratize AI and ML adoption.
Whether it’s mitigating fraud, modeling credit profiles, managing customer acquisition or implementing dozens of other use-cases, leverage dotData to help democratize and accelerate the process.
From forecasting admissions patterns to identifying healthcare “hot spots,” dotData can help healthcare organizations to run more efficiently and provide the quality of service patients demand.
Managing cost is just one of the many reasons insurance companies are investing heavily in Artificial Intelligence and Machine Learning. dotData helps make the process fast, transparent and scalable.
Fintech companies rely on flexibility, speed of execution and technology to help drive adoption and customer satisfaction. Leverage dotData to help automate your processes and improve customer satisfaction.
Creating an efficient and speedy manufacturing process is the goal of all manufacturing companies. dotData helps you leverage the power of data science to accelerate processes and minimize waste.
Whether it’s mapping customer acquisition patterns, modeling inventory churn or dozens of other use cases, dotData helps retailers automate the process of creating Machine Learning and Artificial Intelligence solutions.
Marketing has become as much science as it is art. Artificial Intelligence and Machine Learning can help create a scalable, repeatable and predictable marketing machine, and dotData can help you get there.