DataRobot

DECEMBER 20, 2021

Submit Data. After Exploratory Data Analysis is completed, you can look at your data. Just like for any other project, DataRobot will generate training pipelines and models with validation and cross-validation scores and rate them based on performance metrics. Configure Settings You Need. Free Trial.

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. In my previous role, we had a project with a tight deadline.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

DataRobot Blog

DECEMBER 20, 2022

You can understand the data and model’s behavior at any time. Once you use a training dataset, and after the Exploratory Data Analysis, DataRobot flags any data quality issues and, if significant issues are spotlighted, will automatically handle them in the modeling stage. Watch a demo. See DataRobot in Action.

AI 59

AI AI Cross Validation Machine Learning 59