gouravaich / k-means-clustering-movie-ratingsLinks
Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.
☆31Updated 7 years ago
Alternatives and similar repositories for k-means-clustering-movie-ratings
Users that are interested in k-means-clustering-movie-ratings are comparing it to the libraries listed below
Sorting:
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆265Updated 7 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆95Updated 2 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆89Updated 6 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆144Updated 2 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆61Updated 5 years ago
- This is Kaggle project for the house price prediction☆109Updated 3 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34Updated 6 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆107Updated 3 years ago
- ☆222Updated 3 years ago
- Customer segmentation using k-means clustering in python☆60Updated 7 years ago
- 5 machine learning techniques to forecast product sales☆143Updated 2 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- Different clustering approaches applied on different problemsets☆40Updated 5 years ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆104Updated 6 years ago
- A simple K-Means Clustering model implemented in python☆45Updated last year
- ☆54Updated 6 years ago
- A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…☆33Updated 5 years ago
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆576Updated 6 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆53Updated 7 years ago
- Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the per…☆14Updated 3 years ago
- Machine Learning Concepts with Concepts☆174Updated 5 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆63Updated 7 years ago
- Predicting house prices using Linear Regression and GBR☆377Updated last year
- In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample …☆56Updated 4 years ago
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆42Updated 7 years ago
- This repository contains the code for building movie recommendation engine.☆79Updated 7 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆33Updated 7 years ago
- ☆300Updated 2 years ago
- Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amaz…☆39Updated 6 years ago