ashishpatel26 / Market-Basket-Analysis
Association rule mining is a technique to identify underlying relations between different items.
☆64Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Market-Basket-Analysis
- Data Science Capstone Project Using Python and Tableau 10☆47Updated last year
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆39Updated 6 years ago
- Introduction In ecommerce companies like online retails, customer segmentation is necessary in order to understand customers behaviors. I…☆9Updated 4 years ago
- This is Kaggle project for the house price prediction☆104Updated last year
- Customer-base segmentation over e-commerce sales data☆24Updated 4 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆38Updated 2 years ago
- Customer segmentation using k-means clustering in python☆57Updated 6 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆30Updated 3 years ago
- Lending Club Data Loan Default Prediction☆51Updated last year
- Book Projects☆24Updated 3 years ago
- Repository containing all notebooks and solution files of various competitions in which I participated☆16Updated 2 years ago
- It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flas…☆27Updated last year
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆130Updated 6 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆28Updated 3 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆51Updated 6 years ago
- ☆173Updated 5 years ago
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- ☆11Updated 4 years ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆98Updated 5 years ago
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆16Updated 3 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆56Updated 4 years ago
- laxmimerit / NLP-Tutorial-8---Sentiment-Classification-using-SpaCy-for-IMDB-and-Amazon-Review-DatasetNLP Tutorial 8 - Sentiment Classification using SpaCy for IMDB and Amazon Review Dataset☆20Updated 5 years ago
- Applying Machine learning Algorithms on various data sets.☆62Updated 2 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆97Updated 6 years ago
- End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.☆68Updated last year
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆42Updated 6 years ago
- Solved end-to-end machine learning projects☆30Updated last year
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆52Updated 4 years ago
- ☆63Updated 4 years ago