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Open and combine simple text formats (CSV, PDF, XLS, JSON, XML, etc.), unstructured data types (images, documents, networks, molecules, etc.), or time series data. Connect to multiple databases and data warehouses to integrate data from Oracle, Microsoft SQL, Apache Hive, and more. Download Avro, Parquet, or ORC files from HDFS, S3, or Azure. Access and extract data from sources such as Twitter

Get statistics, including mean, quantiles, and standard deviation, or apply statistical tests to test your hypothesis. Integrate sizing, correlation analysis, and more into your workflows. Aggregate, sort, filter, and combine data on your local machine, database, or distributed big data environments.

Cleanse data with normalization, data type conversion, and handling of missing values. Detect out-of-range values ​​with outlier and anomaly detection algorithms. Extract and select features (or create new ones) to prepare a dataset for machine learning using genetic algorithms, random search, or forward and backward feature elimination. Text management, apply formulas to numeric data, and apply rules to filter or label selections.

Build machine learning models for classification, regression, downsizing, or clustering using advanced algorithms including deep learning, tree-based methods, and logistic regression. Optimize model performance with hyperparameter optimization, boosting, packing, stacking, or complex ensembles. Validate models against performance metrics including accuracy, R2, AUC, and ROC. Perform cross-validation to ensure model stability.

Explain machine learning models with LIME, Shap/Shapley values. Understand model predictions with an interactive partial dependency/ICE plot. Make predictions using proven models directly or with industry-leading PMML, including Apache Spark.

Visualize data with classic (histogram, scatter plot) as well as advanced charts (parallel coordinates, sun rays, network plot, heat map) and customize them to suit your needs. Display summary statistics by columns in Analytical platform KNIME table and filter out everything that doesn’t matter. Export reports in PDF format, Power point, or other formats for presenting results to stakeholders. Store processed data or analytics in many common file formats or databases.

Prototype workflows to explore different approaches to analysis. Check and save intermediate results to provide quick feedback and efficient discovery of new creative solutions. Scale workflow performance with in-memory streaming and multithreading. Leverage the power of database processing or distributed computing in Apache Spark to further improve compute performance. Download Analytical platform KNIME and create your first workflow!

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