2014, Cross Validation and Data Science

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

ML ML Data Scientist AWS

New Data Challenge: Aviation Weather Forecasting Using METAR Data

Ocean Protocol

FEBRUARY 1, 2024

We will only use 1 airport for this data challenge, though METAR is a standard score updated at each airport. The data we use for this challenge is Miami's historical METAR logs from 2014–2023. When implementing these models, you’ll typically start by preprocessing your time series data (e.g.,

Exploratory Data Analysis

Exploratory Data Analysis Data Science Cross Validation Machine Learning

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

Mlearning.ai

FEBRUARY 27, 2023

For the purposes of this tutorial, I’ve chosen the London Energy Dataset which contains the energy consumption of 5,567 randomly selected households in the city of London, UK for the time period of November 2011 to February 2014. Grid search utilizes cross validation too, so it is crucial to provide an appropriate splitting mechanism.

Cross Validation

Cross Validation Machine Learning Machine Learning ML

Data Science Current

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

New Data Challenge: Aviation Weather Forecasting Using METAR Data

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

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