Machine Learning Meta Collection (with KNIME) This meat collection is about machine learning. It contains links to some examples demonstrating several types of machine learning mosttly with KNIME and also some links how to learn machine learning (again mostly witth KNIME). It is not a complete collection of ML methods and algorithms and far from answering all questions or covering all topics - more like a quick practical overview of some aspects; and always with a focus on Mnimal Viable Examples you could try at home. Please note these examples do not substitute for a deeper understanding of your business problems and the various -statistical- implications to consider when using such models - in other words: terms and conditions *do* apply. --------------- Learning Machine Learning (with KNIME) --------- How to learn machine learning with KNIME https://forum.knime.com/t/knime-based-machine-learning-course/21876/2?u=mlauber71 ----------------------------------------------------------------- Links to types of prediction models https://forum.knime.com/t/how-to-find-the-optimal-process-parameter-based-on-quality-defects/20846/6?u=mlauber71 ----- 1) Models for binary classsifications - 0/1 or Yes/No Targets https://forum.knime.com/t/looking-for-options-to-evaluate-a-decision-tree/11384/2?u=mlauber71 Understand metrics like AUC and Gini (and use H2O.ai) https://forum.knime.com/t/random-forest-model-not-working/12738/3?u=mlauber71 https://forum.knime.com/t/help-choosing-analytics-algorithm/11404/3?u=mlauber71 11 Important Model Evaluation Metrics for Machine Learning Everyone should know https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/ ----- 2) Model for Multiclass Targets (and explanation of Log Loss statistics) https://forum.knime.com/t/any-advice-to-improve-the-performance-of-a-classification-model/12801/10?u=mlauber71 https://forum.knime.com/t/metrics-in-multiclass-classification/11193/3?u=mlauber71 ----- 3) Regression models (numeric Target) https://forum.knime.com/t/predictive-analytics-for-sales/12858/3?u=mlauber71 https://forum.knime.com/t/forecasting-sales-per-customer-for-the-next-360-days/13221/4?u=mlauber71 https://forum.knime.com/t/evaluate-a-linear-regression-model/13305/2?u=mlauber71 https://forum.knime.com/t/how-to-identify-the-top-100-features-selected-from-mlp-model/11371/2?u=mlauber71 Regression collection (Time Series) https://forum.knime.com/t/prediction-based-on-multi-variables/20184/5?u=mlauber71 predict how many future visitors a restaurant will receive (with H2O.ai) https://www.knime.com/blog/solving-a-kaggle-challenge-using-the-combined-power-of-knime-analytics-platform-h2o?u=mlauber71 about unbalanced Targets https://forum.knime.com/t/xgboost-predictor/23960/5?u=mlauber71 ------------------------------------------------------------ PMML Models with scores https://forum.knime.com/t/export-pmml-that-outputs-class-probabilities/13244/2?u=mlauber71 Score Documents with multiple Classes? https://forum.knime.com/t/urgent-what-is-wrong-with-my-decision-tree-predictor-for-new-data/13292/10?u=mlauber71 --------------- KNIME and H2O.ai ---------- H2O.ai models and KNIME in general https://www.knime.com/nodeguide/analytics/h2o-machine-learning simple example how to use H2O.ai models in a Big Data environment https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_h2o_sparkling_water H2O.ai AutoML in KNIME for classification problems https://forum.knime.com/t/h2o-ai-automl-in-knime-for-classification-problems/20923?u=mlauber71 H2O.ai AutoML in KNIME for regression problems https://forum.knime.com/t/h2o-ai-automl-in-knime-for-regression-problems/20924?u=mlauber71 „Sparkling Predictions and Encoded Labels – Developing and Deploying Predictive Models on a Big Data Cluster with KNIME, Spark and H2O.ai“ (talk in German, slides in English) https://www.youtube.com/watch?v=k8MsxzwEVrk&t=4335s --------------- KNIME and Python ---------- use Python and KNIME to make a random forest (quick basic example) https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_python_iris Python Installation (the very short story) https://forum.knime.com/t/problem-with-setting-a-python-deep-learning-environment/19477/2?u=mlauber71 https://forum.knime.com/t/installing-a-new-library-in-python/25365/4?u=mlauber71 Python KNIME official installation https://docs.knime.com/2020-07/python_installation_guide/index.html Python and Deep Learning https://docs.knime.com/latest/deep_learning_installation_guide/index.html Python and Anaconda versions / Python and Keras https://forum.knime.com/t/python-extension-not-recognizing-anaconda-environment-in-knime-3-7/12978/3?u=mlauber71 https://forum.knime.com/t/python-extension-not-recognizing-anaconda-environment-in-knime-3-7/12978/9?u=mlauber71 Not strictly a KNIME thing but very helpful books and blogs about ML and Python https://machinelearningmastery.com/
This is a companion discussion topic for the original entry at https://kni.me/w/--zu7353LMafrYQ_