avirichie / Customer-Segmentation-using-Unsupervised-LearningLinks
This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compared: KMeans, Agglomerative Clustering ,Affinity Propagation and DBSCAN.
☆9Updated 4 years ago
Alternatives and similar repositories for Customer-Segmentation-using-Unsupervised-Learning
Users that are interested in Customer-Segmentation-using-Unsupervised-Learning are comparing it to the libraries listed below
Sorting:
- Customer segmentation using k-means clustering in python☆58Updated 6 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆209Updated 2 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆83Updated 6 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆140Updated 2 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 5 years ago
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆44Updated 4 years ago
- Introduction In ecommerce companies like online retails, customer segmentation is necessary in order to understand customers behaviors. I…☆10Updated 5 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆58Updated 4 years ago
- Customer Segmentation, RFM analysis and price elasticity☆18Updated 4 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 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 …☆135Updated 7 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆28Updated 7 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆240Updated 7 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆86Updated 2 years ago
- Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.☆20Updated 2 years ago
- ☆217Updated 3 years ago
- This repo contains my jupyter notebook for a data challenge for building a machine learning model to identify fraud in e-commerce transac…☆12Updated 8 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆29Updated 5 years ago
- Application of K-means clustering. Prediction of customer churn using Multi-layer Perceptron ANN, Logistic Regression, SVM-RBF and Random…☆15Updated 4 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆66Updated 6 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆12Updated last year
- Analysis of Credit Card Default Dataset of Taiwan for Machine Learning☆12Updated 6 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆32Updated 7 years ago
- Credit Card Fraud Detection☆39Updated last year
- This repository is for youtube videos codes. Here I am putting all of my youtube video codes and youtube video link.☆32Updated last year
- Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm☆10Updated 5 years ago
- This is a simple Linear Regression implementation machine learning model and deployment of the same using flask. Data-set of Vadodara Hou…☆10Updated 5 years ago
- Multivariate time series forecasting using the VAR Model in Python. Video Explanation available on my Youtube channel: https://www.youtub…☆24Updated 3 years ago
- Machine learning model for Credit Card fraud detection☆99Updated 4 years ago