doctorweiwei's Stars
Shopify/dawn
Shopify's first source available reference theme, with Online Store 2.0 features and performance built-in.
wepe/O2O-Coupon-Usage-Forecast
1st Place Solution for O2O Coupon Usage Forecast
Shopify/shopify_python_api
ShopifyAPI library allows Python developers to programmatically access the admin section of stores
Francis1986/Jdata_2018
京东Jdata2018"如期而至"用户购买时间预测
herbert-chen/JDATA_
如期而至-用户购买时间预测
daddydrac/machine-learning-predict-customers-next-purchase
Machine Learning to predict a customer's next purchase - Fulfills many use-cases from recommendation systems to loyalty programs.
yonnic0706/TB-Customer-Behavior-Analysis
淘宝用户行为分析
cchang787/Next-Purchase-Date-Prediction
Using machine learning to predict a customer's propensity to make a purchase in the next seven days
aabhandari/shopify-data-syncing-system
Integrating live Shopify data into our PostgreSQL instance, allowing us to consolidate all of our data into a single location.
himanshubhawsar18/Predicting-Purchase-Behavior-on-E-Commerce-Data
Here we have to predict the purchasing behaviour of customer on E-Commerce data. We can see graphically visualisation to know, when do customer order the most like day of week, time of the day and the combination of these two and also to search what are the top five product which are Ordered and Re Ordered and see the reorder ratio for each department and at last we have to build a model to predict which previously purchased product will be in a users next order.
TriMinhDuong/customer-purchases-prediction
The goal is to predict the number of purchases from each customer in the next 30 days by using the customer lifetime model.
bencxs/instacart-market-basket
Predict what product will customers order in their next order
dkuzyurin/sbermarket-competition
Customer's next order predicting
esther3587/Instacart-Market-Analysis
From anonymous customer data, predict which previously purchased products will be purchased again in a user’s next order.
jerrychens/online_retail
Customer segmentation using RFM; Recommendation using user-based implicit collaborative filtering
szhang5/Petbnb-backend
szhang5/Petbnb-frontend
This is a team project for Pace university.