Miriam Santos – Medium

Miriam Santos

Published in
Towards Data Science

A Beginner’s Guide to Building High-Quality Datasets for Machine Learning

Tools and techniques for data cleaning, visualization, augmentation, and synthetic data generation

Nov 11, 2023

A Beginner’s Guide to Building High-Quality Datasets for Machine Learning

Nov 11, 2023

Published in
Towards Data Science

Missing Data Demystified: The Absolute Primer for Data Scientists

Missing data, missing mechanisms, and missing data profiling

Aug 29, 2023

Missing Data Demystified: The Absolute Primer for Data Scientists

Aug 29, 2023

Published in
Towards Data Science

Understand your Data in Real-Time

with bytewax and ydata-profiling

Jul 20, 2023

Understand your Data in Real-Time

Jul 20, 2023

Published in
Towards Data Science

Pandas 2.0: A Game-Changer for Data Scientists?

The Top 5 Features for Efficient Data Manipulation

Jun 27, 2023

Pandas 2.0: A Game-Changer for Data Scientists?

Jun 27, 2023

Published in
Towards Data Science

A Data Scientist’s Essential Guide to Exploratory Data Analysis

Best Practices, Techniques, and Tools to Fully Understand Your Data

May 30, 2023

A Data Scientist’s Essential Guide to Exploratory Data Analysis

May 30, 2023

Published in
Towards Data Science

How to Generate Real-World Synthetic Data with CTGAN

Exploring the Streamlit App introduced in ydata-synthetic

Apr 13, 2023

ydata-synthetic Streamlit app: Welcome Screen. Image by Author.

Apr 13, 2023

Published in
Towards Data Science

Awesome Data Science Tools to Master in 2023: Data Profiling Edition

5 Open Source Python Packages for EDA and Visualization

Feb 22, 2023

Awesome Data Science Tools to Master in 2023: Data Profiling Edition

Feb 22, 2023

Published in
Towards Data Science

Data Quality Issues that Kill Your Machine Learning Models

Navigating the complexity of imperfect data

Jan 19, 2023

Data Quality Issues that Kill Your Machine Learning Models

Jan 19, 2023

Miriam Santos

Miriam Santos

Data Advocate, PhD, Jack of all trades | Educating towards Data-Centric AI and Data Quality | Fighting for a diverse, inclusive, fair, and transparent AI

Following

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams