AWS Machine Learning Blog

APRIL 6, 2023

We observed during the exploratory data analysis (EDA) that as we move from micro-level sales (product level) to macro-level sales (BL level), missing values become less significant. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021. In 2019 and 2020, our model achieved less than 0.1

Machine Learning 112

Machine Learning Machine Learning ML ML 112

Ocean Protocol

MAY 24, 2024

The challenge required a detailed analysis of Google Trends data, integration of additional data sources, and the application of advanced ML methods to predict market behaviors. Data scientists across various expertise levels engaged in this challenge to determine Google Trends’ impact on cryptocurrency valuations.

EDA 59

EDA Exploratory Data Analysis Data Scientist ML 59

Mlearning.ai

FEBRUARY 28, 2023

In 2018–2019, while new car sales were recorded at 3.6 As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. million units, around 4 million second-hand cars were bought and sold.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

DrivenData Labs

DECEMBER 7, 2023

Amongst other ML competitions, I have been in a prize-winning position for NASA SOHO comet search, NOAA Precipitation Prediction (Rodeo 2), the Spacenet-8 flood detection, and 2019 IEEE GRSS data fusion contest. The reliability of this gold dataset is confirmed through manual validation and extensive Exploratory Data Analysis (EDA).

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130