frameworkToolsVisualisation
Artificial Intelligence
List of topics it is best to know for practical Machine Learning approach… Data mining framework: Tools: Visualisation Libraries: Evaluation metric: Model Hubs/Zoo: Hyperparameter Tuning: Outlier Detection: Resampling: EDA: Cross Validation: Feature Engineering: Feature selection: Ensemble Methods: Dimensionality...
CRISP-DMSEMMAAnaconda/minicondaStreamlitJupyter NotebooksMLflowWeights & Biasescomet.mlMatplotlibSeabornPlotlyPivotTable.js-Accuracy- Precision (P)- Recall (R)- F1 rating (F1)- Area under the ROC (Receiver Operating Characteristic) curve - Log loss- Precision at k (P@k)- Average precision at k (AP@k)- Mean average precision...
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