avaiyang / Movie-Rating-and-Prediction-ModelLinks
The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
☆15Updated 7 years ago
Alternatives and similar repositories for Movie-Rating-and-Prediction-Model
Users that are interested in Movie-Rating-and-Prediction-Model are comparing it to the libraries listed below
Sorting:
- Disease prediction using Machine Learning. This is a classification problem. The objective of this project was to classify the disease ba…☆9Updated 4 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆39Updated 6 years ago
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆31Updated 7 years ago
- This repo contains the material and projects for Udacity Data science Nanodegree term 2☆12Updated 2 years ago
- *****PROJECT SPECIFICATION: Machine Learning Capstone Analysis Project***** This capstone project involves machine learning modeling and…☆15Updated 7 years ago
- Low-Rank Matrix Factorization for Recommender Systems☆73Updated 8 years ago
- 🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.☆24Updated 4 years ago
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆57Updated 5 years ago
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆43Updated 6 years ago
- ☆124Updated 6 years ago
- Big Data Management and Analysis Final Project☆69Updated 7 years ago
- Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.☆24Updated 7 years ago
- Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ra…☆31Updated 6 years ago
- Coursera 9-Course Specialization☆32Updated 6 years ago
- We used deep learning models on SparkML to create a hybrid recommender system that leverages both content and collaborative data.☆14Updated 5 years ago
- It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insuran…☆14Updated 5 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆89Updated 2 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆90Updated last year
- Building Recommender Systems with Machine Learning and AI, published by Packt☆107Updated 2 years ago
- Tutorial for Deployment of Machine Learning Model using Flask☆23Updated 4 years ago
- Food Demand Forecasting Challenge☆14Updated 6 years ago
- Basic of Recommendation Models☆17Updated 6 years ago
- Hands-On Recommendation Systems with Python published by Packt☆261Updated 2 years ago
- You may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can …☆37Updated 5 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆27Updated 9 months ago
- This repository contains the code for building movie recommendation engine.☆77Updated 7 years ago
- Repository for the Applied Data Science with Python Specialization from University of Michigan on Coursera☆20Updated 5 years ago
- A machine learning based project.☆7Updated 4 years ago
- This project contains all the assignment's solution of university of Michigan.☆23Updated 5 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆62Updated 4 years ago