Favio Vázquez – Medium

Favio Vázquez

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TDS Archive

The Roots of Data Science

How it all began

Aug 1, 2020

The Roots of Data Science

Aug 1, 2020

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TDS Archive

Detecting Fake News With and Without Code

Comparing different NLP techniques and methods with Python and other tools to detect fake news.

Jul 23, 2020

Detecting Fake News With and Without Code

Jul 23, 2020

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TDS Archive

Discovering New Data

Data discovering using Explorium and Python in a few simple steps.

Jul 3, 2020

Discovering New Data

Jul 3, 2020

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TDS Archive

Your First Apache Spark ML Model

How to build a basic machine learning model with Apache Spark and Python.

Jun 17, 2020

Your First Apache Spark ML Model

Jun 17, 2020

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TDS Archive

Where is the data?

Or how to enrich your datasets and create new features automatically.

Apr 16, 2020

Where is the data?

Apr 16, 2020

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Analytics Vidhya

The NOT definitive guide to learning math for machine learning

38 free resources to learn calculus, algebra, and statistics.

Feb 26, 2020

The NOT definitive guide to learning math for machine learning

Feb 26, 2020

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TDS Archive

Write Better Stories with this Python Tool

Using the power of programming to write better and improve readability.

Jan 14, 2020

Write Better Stories with this Python Tool

Jan 14, 2020

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TDS Archive

To Every Action, There’s Not Always an Opposite Equal Reaction

Let’s stop making stuff up and be better scientists.

Jan 7, 2020

To Every Action, There’s Not Always an Opposite Equal Reaction

Jan 7, 2020

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TDS Archive

Knowledge Data Science with Semantics Technologies.

An introduction to the (possible) future of data science.

Nov 28, 2019

Knowledge Data Science with Semantics Technologies.

Nov 28, 2019

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TDS Archive

Separate Music Tracks with Deep Learning

How to use the library spleeter from Deezer to start creating your karaoke.

Nov 7, 2019

Separate Music Tracks with Deep Learning

Nov 7, 2019

Favio Vázquez

Favio Vázquez

Data scientist, physicist and computer engineer. Love sharing ideas, thoughts and contributing to Open Source in Machine Learning and Deep Learning ;).

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