Dataconomy

AUGUST 16, 2023

Today’s question is, “What does a data scientist do.” ” Step into the realm of data science, where numbers dance like fireflies and patterns emerge from the chaos of information. In this blog post, we’re embarking on a thrilling expedition to demystify the enigmatic role of data scientists.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Dataconomy

JULY 28, 2023

Data preprocessing ensures the removal of incorrect, incomplete, and inaccurate data from datasets, leading to the creation of accurate and useful datasets for analysis ( Image Credit ) Data completeness One of the primary requirements for data preprocessing is ensuring that the dataset is complete, with minimal missing values.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

AUGUST 9, 2023

For a comprehensive understanding of the practical applications, including a detailed code walkthrough from data preparation to model deployment, please join us at the ODSC APAC conference 2023. Now, let’s give you a taste of what’s in store (the GitHub code repository can be found here ). if the recipe is a dessert, 0.0

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

AWS Machine Learning Blog

MAY 30, 2023

Although Cost Explorer helps you understand cost and usage data at the granularity of the instance type, you can use AWS Cost and Usage Reports (AWS CUR) to get data at the granularity of a resource such as notebook ARN. You can build custom queries to look up AWS CUR data using standard SQL. For example, ml.t2.medium

AWS 78

AWS ML ML EDA 78