Azure Clustering Cross Validation 
Mlearning.ai
JUNE 28, 2023
This extensive repertoire includes classification, regression, clustering, natural language processing, and anomaly detection. The compare_models() function trains all available models in the PyCaret library and evaluates their performance using cross-validation, providing a simple way to select the best-performing model.
Pickl AI
SEPTEMBER 18, 2024
Algorithm and Model Development Understanding various Machine Learning algorithms—such as regression , classification , clustering , and neural networks —is fundamental. You should be comfortable with cross-validation, hyperparameter tuning, and model evaluation metrics (e.g., accuracy, precision, recall, F1-score).
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Pickl AI
APRIL 26, 2024
Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. In my previous role, we had a project with a tight deadline.
Pickl AI
JULY 12, 2024
Python facilitates the application of various unsupervised algorithms for clustering and dimensionality reduction. K-Means Clustering K-means partition data points into K clusters based on similarities in feature space.
DagsHub
APRIL 21, 2024
It offers implementations of various machine learning algorithms, including linear and logistic regression , decision trees , random forests , support vector machines , clustering algorithms , and more. There is no licensing cost for Scikit-learn, you can create and use different ML models with Scikit-learn for free.
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