albertovpd Goto Github PK

followers: 54.0 following: 48.0 repos: 51.0 gists: 1.0

Type: User

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Location: Sevilla, Spain

Blog: https://www.linkedin.com/in/alberto-vargas-pina/

Ahoy!

I am a Physicist commited to apply the Scientific Method to data. Currently working as Data Engineer, passionate about Data Science.

SQL + Jinja SQL + DBT .
PySpark + Bash .
Pandas + Sckit-learn + TensorFlow .
CI/CD, pipelines, GCP .

Click to expand.

A pre-trained NN says it's probable that Copito is a sheep. If 31.13% is he higher score, it means at least there are 3 other classes with lower probability. Supposing that dog gets the second biggest probability with 31.10%... What the hack could be the other classes? Polar bear? cotton? Four-legged goddess?

albertovpd's Projects

06_01mair

Repository with the contents of 01MAIR

albertovpd

About me

analysing_controversial_public_figures_gdelt

Research: Are the spanish media not publishing controversial articles? Is Gdelt tagging everything? Check out the Readme. Dashboard => https://datastudio.google.com/s/nShAIQD96fc

analysing_world_news_with_gdelt

I'm a curious person and analysing world news is fun. Here I'm gathering all my Gdelt-related projects.

asyncio-workshop

ata_inferences

Flask API serving a trained ML model to perform inferences over the input Json.

automated_etl_google_cloud-social_dashboard

A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315

automated_ml_regression

ML regression within a Cloud Function to infer unemployment searches on Google, in Spain, 4 weeks in advance => https://datastudio.google.com/s/jwIr1Weh7Zc

automated_sentiment_analysis_20210215

Cloud Function working with Gdelt Project data. Comparising their Sentiment tools with my Python tailored solution

bank_analysis

Use Gdelt project to analyse how many times a bank is mentioned in news and the sentiment related to it

becoming_human_cheatsheets

https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-science-pdf-f22dc900d2d7

bigquery-data-science

SQL for Data Science with Google Big Query. Udemy course

breast-cancer-detector-model

cloud_function_examples

Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

datamad1019

elon_musk_influence_in_news

What the wold media says about Elon Musk and his companies

essential

geoqueries-mongo-folium

Haversine equation (the Earth as curvature and it must be taken into consideration), get the middle point of highlighted places, cleaning datasets and API requests to find the perfect spot for your company