Ocean Protocol

NOVEMBER 28, 2024

Aleks ensured the model could be implemented without complications by delivering structured outputs and comprehensive documentation. Firepig refined predictions using detailed feature engineering and cross-validation. His focus on track-specific insights and comprehensive data preparation set the model apart.

Cross Validation 85

Cross Validation Decision Trees Data Scientist Data Science 85

AWS Machine Learning Blog

MAY 31, 2024

Data preparation and loading into sequence store The initial step in our machine learning workflow focuses on preparing the data. 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.

AWS 111

AWS ML ML Machine Learning 111

Pickl AI

JULY 12, 2024

Jupyter notebooks allow you to create and share live code, equations, visualisations, and narrative text documents. Jupyter notebooks are widely used in AI for prototyping, data visualisation, and collaborative work. Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Mlearning.ai

JUNE 28, 2023

Table of Contents Introduction to PyCaret Benefits of PyCaret Installation and Setup Data Preparation Model Training and Selection Hyperparameter Tuning Model Evaluation and Analysis Model Deployment and MLOps Working with Time Series Data Conclusion 1. or higher and a stable internet connection for the installation process.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Data Science 52

Pickl AI

NOVEMBER 28, 2024

Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data. Data Transformation Transforming data prepares it for Machine Learning models. It ensures that team members can make informed decisions based on model results.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

DECEMBER 13, 2024

This helps with data preparation and feature engineering tasks and model training and deployment automation. In both LSA and LDA, each document is treated as a collection of words only and the order of the words or grammatical role does not matter, which may cause some information loss in determining the topic.

ML 87

ML ML Clustering AWS 87

Pickl AI

SEPTEMBER 10, 2023

You can use techniques like grid search, cross-validation, or optimization algorithms to find the best parameter values that minimize the forecast error. You may need to adjust the smoothing parameters or other settings to account for changing patterns in the data. Load your time series data into a pandas data frame.

Data Analyst 52

Data Analyst Cross Validation Python Data Preparation 52