Regression & Classification

Automate the creation of advanced regression and classification machine learning models that incorporate our world-class data science expertise.

Regression & Classification

You want to invest in AI and machine learning, but rapid change, vendor churn, hype, and jargon make it hard to choose an AI vendor. In this webinar recording, you’ll learn what to consider as you seek a partner in AI, and get real-world AI implementation best practices from Pauline McKinney, Vice President of Data and Analytics at Wellen Capital.

Watch the on-demand DataRobot webinar


DataRobot prepares data for modeling automatically, performing operations like one-hot encoding, missing value imputation, text mining, standardization, and data partitioning. The platform transforms data into features that are optimized for each algorithm so you always get the best results.

Unmatched Accuracy

DataRobot uses the latest and most powerful open source machine learning libraries, including R, Python, scikit-learn, H2O, TensorFlow, Vowpal Wabbit, Spark ML, and XGBoost. It employs the same advanced techniques that data scientists use, including boosting, bagging, random forests, kernel-based methods, generalized linear models, deep learning, and many others.

Innovation with Democratization

DataRobot supports the advanced capabilities that data scientists require, in a way that makes them easy to use for all. From multiclass modeling to anomaly detection and monotonicity, DataRobot employs data science best practices and guardrails at every step so all users can collaborate on machine learning projects, and participate in an AI-driven culture.

Model Deployment and Management

Every model built in DataRobot can be put into production immediately. You can upload data to be scored in batches, utilize our API to generate predictions, and even download scoring code to be embedded directly into your applications. Monitor the performance of all deployed models from a central portal, and easily refresh and replace models if data and accuracy changes over time.

Regression & Classification In Action

The biggest impact DataRobot has had on Lenovo is that decisions are now made in a more proactive and precise way.
Rodrigo Bertin
Rodrigo Bertin

Senior Business Development Manager, Latin America, Lenovo Brazil

Lenovo, one of the world's largest technology companies, invoices more than $45 billion of computers, laptops, and accessories globally each year. The Chinese multinational company considers Brazil to be one of its primary emerging markets.

DataRobot has already helped Lenovo more accurately predict sell out volume and, as a result, Lenovo has surged to become the leader in volume share on notebook sales for the B2C segment in Brazil. With numerous other machine learning initiatives in the pipeline, Rodrigo and his team are poised to leverage the power of automated machine learning to dominate the huge market opportunity facing Lenovo in Brazil.



  • "DataRobot を導入したことによって、当社ではデータサイエンティストの生産性が高まり、より多くのことをできるようになりました。また機械学習が「民主化」され、ビジネスアナリストやデータマネージャにも活用しやすいものとなってきています。ソフトウェア自体は理解しやすく、簡単に使用できます。シンプルでありながら、明確な結果が得られます。DataRobot は、今後当社に大きな影響をもたらし、AI 戦略全体を推進していくうえで欠かせないものとなるでしょう。"

    Anthony Randall 氏

    Digital Strategic Alliance Lead, Monsanto

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