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Cheat sheet for Scikit-learn: ๐ Scikit-learn is a Python library for machine learning.
๐ฅ Loading Data - downloading and preparing data.
๐งผ Preprocessing - standardization, normalization, and feature processing.
๐๏ธ Create Your Model - creating models for classification, regression, and clustering.
๐ฏ Model Fitting - training the model on data.
๐ฎ Prediction - obtaining forecasts.
๐ Evaluate Performance - assessing the quality of the model using various metrics.
๐ Cross-Validation - checking the model on different samples.
โ๏ธ Tune Your Model - optimizing parameters using Grid Search and Randomized Search.
#ScikitLearn #MachineLearning #Python #DataScience #AI #MLOps
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๐ฅ Loading Data - downloading and preparing data.
๐งผ Preprocessing - standardization, normalization, and feature processing.
๐๏ธ Create Your Model - creating models for classification, regression, and clustering.
๐ฏ Model Fitting - training the model on data.
๐ฎ Prediction - obtaining forecasts.
๐ Evaluate Performance - assessing the quality of the model using various metrics.
๐ Cross-Validation - checking the model on different samples.
โ๏ธ Tune Your Model - optimizing parameters using Grid Search and Randomized Search.
#ScikitLearn #MachineLearning #Python #DataScience #AI #MLOps
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