Flipboard

FEBRUARY 2, 2023

There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. To avoid leakage during cross-validation, we grouped all plays from the same game into the same fold.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

AWS Machine Learning Blog

FEBRUARY 25, 2025

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. For the classifier, we employ SVM, using the scikit-learn Python module.

Algorithm 84

Algorithm Machine Learning Machine Learning K-nearest Neighbors 84

Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. I have checked the AWS S3 bucket and Snowflake tables for a couple of days and the Data pipeline is working as expected. Until next time… Happy coding !!

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. Prior to AWS, he obtained his MCS from West Virginia University and worked as computer vision researcher at Midea. Each season consists of around 17,000 plays. She received her Ph.D.

ML 97

ML ML Machine Learning Machine Learning 97

DrivenData Labs

MAY 1, 2025

Solvers used 2016 demographics, economic circumstances, migration, physical limitations, self-reported health, and lifestyle behaviors to predict a composite cognitive function score in 2021. Next, for participants who had been tested in 2016, I estimated their 2021 scores by adding the predicted score difference to their 2016 scores.

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147