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Name: Gabriel De Santis
Type: User
Bio: Data Science with Python
Location: Amsterdam & Barcelona
Name: Gabriel De Santis
Type: User
Bio: Data Science with Python
Location: Amsterdam & Barcelona
Designing a SQL database according to the client's necessities
Creating a database with MySQL and connecting, modifying, and querying it with Python
Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.
Participación en el Cajamar UniversityHack Datathon 2023 como miembro del equipo Pynot
Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).
Cracking the Data Science Interview
Data science interview questions and answers
A repo for data science related questions and answers
Interactive and real-time data visualization dashboard with ELK Stack (Elasticsearch, Logstash & Kibana) connected to our localhost
Lliurament tasca 3
Gabriel De Santis Lliurament tasca 2
Exploratory Data Analysis of Delayed Flights Data Set
Improving Machine Learning models performances through Feature Engineering and Feature Scaling techniques such as Principal Component Analysis (PCA), Dummy variables, Standard Scaling and Data Normalization
Primer repositorio github
Applying Hypothesis Testing techniques to a sportive data set
Lliurament tasca 2A Gabriel De Santis
Preprocess, standardize and transform web logs in order to geolocalize and visualize the origin of log events
Gabriel De SantisLliurament tasca 1: Jupyter Notebook i Markdown
Creating a No-SQL database with MongoDB, querying and manipulating it with Python (Pymongo)
Gabriel De Santis (Tasca 4)
My participation in the 'Pump it Up: Data Mining the Water Table' challenge by DrivenData
Creating and comparing three regression models (Linear, Neureal Network & Random Forest) to predict Flight Delay and figuring out which one is the best.
The aim of this project was to sample a sports data set
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.