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AEPI: Final Project
Ejemplos y soluciones del libro "Aprende Java con Ejercicios"
A collection of awesome things regarding the Power Platform ecosystem.
BoxOffice predicts movie box office revenues of feature length films to identify stock market opportunities in media properties. The tool is based on critic reviews, film characteristics, production budget, and what studio and players are involved. Producing a movie is a highly risky endeavor and studios rely on only a handful of extremely expensive movies every year to make sure they remain profitable. Box office hits and misses correspond to short-term changes in stock prices.
Cornell ORIE 4741 Course Project: Machine Learning with Big Messy Data
Predicting a movie's box office revenue based on IMDB review sentiment analysis. Utilizes random forest and linear regression models.
A simple python module for scrapping movie information from www.boxofficemojo.com
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Sistema de bases de datos para control de usuarios del Gimnasio Fitness Garage.
Ejemplo de Java Swing para la gestion de un gimnasio con funcionalidades basicas
Sistema de administración de un gimnasio para UADE
Sistemas para el control de un gimnasio desarrollado con java y mysql
Team #4
Interfaz de una aplicacion java destinada a un gimnasio
Programación Orientada a Objetos - Java
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Machine Learning utilizando el dataset de estudiantes que se encuentra en https://archive.ics.uci.edu/ml/machine-learning-databases/00320/student.zip Para ello se utilizará PySpark
Analysis of movie data using data from two public Kaggle CSV files, along with API calls to OMDb (The Open Movie Database). Data analysis includes both analysis of the movie industry as a whole, as well as specific actor analysis based on user's actor of choice.
Predicts box office success based on IMDB and Social media data
What makes a good movie? Most of the top-rated movies in the International movie database (IMDB) are critically acclaimed and are generally a safe bet in terms of commercial success. Naturally, it would be interesting to investigate if these top movies have some distinct features responsible for their high ratings. This project aims to find out the type of natural cluster that exists among the top 250 movies from IMDB. Unsupervised machine learning techniques will be employed, more specifically, clustering algorithms. Hopefully, these clusters will give us information to observe the recurrent pattern. To build our dataset we used OMDB's web API which is RESTful web service to obtain movie information. For plot summaries we scrapped a movie's plot from IMDB's website using BeautifulSoup Library in python. Our final extracted dataframe had 250 rows and 113 columns. The inputs to our dataframe were all categorical features which were one hot encoded. We first used dimensionality reduction techniques such as PCA which was followed by K-Means and DB-SCAN clustering to find inherent clusters in the data.
A Project to analyze the relationship between a movie’s sentiment on Social Media and its crowd-sourced rating.
Predict a movie's popularity (IMDb custom metric) using 34 movie features
Analysis of OMDB dataset
Open source yoga studio software
Documentation for Microsoft Power Platform
diseño de almacenamiento de usuarios en un gimnasio
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.