zeglam / Online-shoppers-intention-predictionLinks
Predict the intention (make a purchase or not) of e-commerce website visitors.
☆13Updated 5 years ago
Alternatives and similar repositories for Online-shoppers-intention-prediction
Users that are interested in Online-shoppers-intention-prediction are comparing it to the libraries listed below
Sorting:
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆35Updated 7 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 8 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆95Updated last year
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆32Updated 5 years ago
- Yelp_Review☆21Updated 7 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
- Analysis for Customer Segmentation☆72Updated 5 years ago
- Customer segmentation using k-means clustering in python☆60Updated 7 years ago
- Tutorial on building a discrete-event simulation model using Python and Simpy and conducting a statistical analysis of the simulation out…☆18Updated 3 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆156Updated 2 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆83Updated 10 months ago
- Quick Implementation in python☆53Updated 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…☆233Updated 3 years ago
- A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN), BM-FKNN, FKNCN, FKNN, KNN Classifier☆10Updated 4 years ago
- Demand Forecasting using Prophet☆14Updated 5 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…☆91Updated 3 years ago
- Recommender System； Collaborative Filtering；Content-Based Algorithm☆17Updated 6 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆301Updated last year
- Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboo…☆194Updated 8 years ago
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆37Updated 4 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
- 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
- supply demmand gap prediction for ride-hailing☆76Updated 7 years ago
- A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Opti…☆17Updated 6 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- Credit Risk analysis by using Python and ML☆169Updated 8 years ago
- Predicting Customer Lifetime Value☆12Updated 5 years ago