wppaez Goto Github PK
Type: User
wppaez's Projects
bdvertical-i
En este codigo se encontrara el paso a paso de la limpieza de las empresas y contactos de Verical-i para que sea disponible para HubSpot
colombia_geojson
A set of files that describe the topology of colombia as a GEOJson formatted file.
data-extraction-tesis
En este repositorio estará el web scraping para la extraccion de analisis de redes sociales de instagram a la cuenta de Rappi
data_tesis
energy-stock-backend
Undergraduate final project backend.
energy-stock-client
Undergraduate final project client side
energy-stock-plumber-api
Plumber API for R models
hunty-etl
instagram-private-api
NodeJS Instagram private API SDK. Written in TypeScript.
latam-tweet
log-rustic-cabin-catalog-gen
m2_scraper
Metro Cuadrado web scrapper
mintic-measurments-scrapper
pryecto-algortimos-un
En este proyecto se encuentra el código desarrollado para el calculo del tiempo de corrida de un algoritmo que pasa como input en formato txt
pseudocode-analyzer
Course project
py-scrapper-template
restaurant-finder-featurereviews
Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
sentiment-analysis-nlp
Sentiment Analysis of Restaurant Reviews using NLP
sentimentanalysis
A Sentimental Analysis model trained on IMDb dataset, using Bag of words model(tokenisation)
sodapy
Python client for the Socrata Open Data API
twitter
Python Twitter API
twitter-sentiment-analysis-using-python
Millions of people are using Twitter and expressing their emotions like happiness, sadness, angry, etc. The Sentiment analysis is also about detecting the emotions, opinion, assessment, attitudes, and took this into consideration as a way humans think. Sentiment analysis classifies the emotions into classes such as positive or negative.
twitter-sentimentalanalysis
twitter_sentimental_analysis
twitter sentimental analysis using neural networks (NN)
twitter_sentimentalanalysis
vertical-i_bd
web_scraping_m2
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