From Development to Deployment of an AI Model Using Azure
Towards AI
APRIL 7, 2024
This involves visualizing the data and analyzing key statistics.
Towards AI
APRIL 7, 2024
This involves visualizing the data and analyzing key statistics.
Data Science 101
JANUARY 10, 2020
Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power.
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Pickl AI
SEPTEMBER 5, 2024
Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?
Smart Data Collective
JUNE 4, 2021
it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Exploratory Data Analysis. Exploratory data analysis is analyzing and understanding data. For exploratory data analysis use graphs and statistical parameters mean, medium, variance.
ODSC - Open Data Science
JULY 19, 2023
This resulted in a wide number of accelerators, code repositories, or even full-fledged products that were built using or on top of Azure Machine Learning (Azure ML). Based on our analysis of these accelerators, we identified design patterns and code that we could leverage. These can include but may not be limited to: a.
MARCH 22, 2023
You can import data from multiple data sources, such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Amazon EMR , and Snowflake. With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler.
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. How would you segment customers based on their purchasing behaviour?
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