Jose Antonio Mancilla's repositories
DSND_Term2
Contains files related to content and project of DSND Term 2
AI-for-Trading
Udacity nanodegree: AI for Trading
amazon-review-scraper
A basic python 3 based web scraper for extracting reviews from Amazon. Built using Selectorlib and requests
cosas_del_atico
cĂłdigo Ăştil
Covid19-Mexico
Covid19-MĂ©xico
Customer-Analysis
Project: Arvato Bertelsmann Customer Analysis
DSP-worldbank
https://dsp-app-worldbank.herokuapp.com
facebook-sdk
Python SDK for Facebook's Graph API
go-rest-api-1
I developed rest api which include CRUD operations.
Jupyterlab
Jupyterlab Docker image running as root user with useful extensions and dark theme
MomentumRNN
Code base for MomentumRNN.
pdfsizeopt
PDF file size optimizer
plotly.js
Open-source JavaScript charting library behind Plotly and Dash
ProofOfEngagement
Whitepaper and models for Proof of Engagement
Python-Packages
My personals Python Packages
rethinking
Statistical Rethinking course and book package
spark-standalone-cluster-on-docker
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
SPGFoodSecurity
Repo to generate the algorithms needed for the optimization of the routes and allocation of resources in response to COVID-19.
Stock-Market-Analysis
Stock Market Analysis for Mexican Stocks
teamcolors
an R package providing color palettes for pro sports teams
tennis-crystal-ball
Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
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.