Data Science Dojo

JULY 15, 2024

Technical Approaches: Several techniques can be used to assess row importance, each with its own advantages and limitations: Leave-One-Out (LOO) Cross-Validation: This method retrains the model leaving out each data point one at a time and observes the change in model performance (e.g., accuracy). shirt, pants). shirt, pants).

Machine Learning 308

Machine Learning Machine Learning Algorithm Clustering 308

Iguazio

JUNE 25, 2023

Clustering Metrics Clustering is an unsupervised learning technique where data points are grouped into clusters based on their similarities or proximity. Evaluation metrics include: Silhouette Coefficient - Measures the compactness and separation of clusters. TensorFlow, PyTorch), distributed computing frameworks (e.g.,

ML 52

ML ML Clustering Cross Validation 52

Pickl AI

JULY 12, 2024

Jupyter notebooks allow you to create and share live code, equations, visualisations, and narrative text documents. 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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

OCTOBER 15, 2024

Applications : Stock price prediction and financial forecasting Analysing sales trends over time Demand forecasting in supply chain management Clustering Models Clustering is an unsupervised learning technique used to group similar data points together. Popular clustering algorithms include k-means and hierarchical clustering.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 31, 2024

Following Nguyen et al , we train on chromosomes 2, 4, 6, 8, X, and 14–19; cross-validate on chromosomes 1, 3, 12, and 13; and test on chromosomes 5, 7, and 9–11. The computational resources included a cluster configured with one ml.g5.12xlarge instance, which houses four Nvidia A10G GPUs.

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AWS ML ML Machine Learning 109

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.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Data Science 52