jtmancilla Goto Github PK
Name: Jose Antonio Mancilla
Type: User
Bio: Data Scientist.
Location: CDMX, México
Name: Jose Antonio Mancilla
Type: User
Bio: Data Scientist.
Location: CDMX, México
R Shiny application: State Crime Rates Vsualizations
Samsung Data set analysis. Project of Getting and Cleaning Data
scikit-learn: machine learning in Python
Easy interactive web applications with R
Shiny app with a Flask service backend and a postgresql data base
Practice Slidify. Devoloping Data Product
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
Repo to generate the algorithms needed for the optimization of the routes and allocation of resources in response to COVID-19.
Sports betting assistant (with interface) which optimizes earnings regarding odds and offers
Findings from Stackoverflow 2017
Stock Market Analysis for Mexican Stocks
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
machine learning web app game where the user competes against the AI in picking stocks
Predicting stock using LSTM-RNN
Scraping and visualising Swiss football transfer data using R
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
an R package providing color palettes for pro sports teams
Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Source code the New Zealand Tourism Dashboard which is deployed to https://mbienz.shinyapps.io/tourism_dashboard_prod/
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
Simulate binance fee mechanism by RL agents
Obtencion de tweets para LARS
Udacity Data Science Nanodegree Program
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Measure pedestrian access using raster analysis in JavaScript.
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.