instacart
There are 3 repositories under instacart topic.
- Language:JavaScript 80
archd3sai / Instacart-Market-Basket-Analysis
The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.
Language:Jupyter Notebook 56lzztt / chrome_extensions
Find a delivery time for Amazon Fresh, Whole Foods, Costco Sameday, and Instacart
Language:JavaScript 35tstreamDOTh / Instacart-Market-Basket-Analysis
Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦
Language:Jupyter Notebook 34- delivery-finder
jvkumar / delivery-finder
To help in COVID-19 situation - An automated bot to find delivery window of InstaCart and Amazon Whole Foods Market, Costco Same Day and Walmart Groceries.
Language:JavaScript 24 nikshepsvn / instacart-delivery-availability-check
Tiny python script that check's instacart's delivery availability and notifies you if a slot opens up.
Language:Python 21araavp / instacart-delivery-slot-finder
Mac Script that notifies you once a delivery slot in available on Instacart
- Language:Shell 16
- Language:R 7
philipfong / auto-grocery-delivery
Automate checks for delivery windows and complete checkout on various grocery sites
Language:Ruby 7denistanjingyu / Instacart-Market-Basket-Analysis
Used association ruling to find out which products were frequently bought together. Aim is to drive higher sales volume and customer retention.
Language:R 4ericzorn93 / instacart-assist
An open source library for interacting with the Instacart API. Currently supporting the V3 Rest API. This repository does not yet support OAuth Authentication through Facebook and/or Google. This library is backwards compatible between Node JS 10>=. All APIs from Instacart require auth for successful request. The development of this is still currently in progress
Language:TypeScript 3LMO94 / instacart-product-recommender
This repository contains the prototype of a product recommender based on data from online grocer Instacart. It was created as a group project for the Machine Learning Course for MSc Business Analytics at Nova School of Business and Economics.
Language:Jupyter Notebook 3matheuslins / instacartcrawl
A spider from the Instacart Store https://www.instacart.com/
Language:Python 3v3cube / instacart-clone
Buy ready made Instacart clone for your on demand grocery delivery business
daaguirr / Instacart-USDA
Merge of Instacart dataset and USDA Nutritional Information
Language:Python 2- Language:HTML 2
edubu2 / metis-project3
Using XGBoost Classifier to Predict whether an InstaCart customer will purchase an item again in their next order using a gradient-boosting (XGBoost) machine learning algorithm.
Language:Jupyter Notebook 1- Language:Python 1
mohamed-noorani / Grocery-Prediction-Recommendation
Instacart Market Basket Analysis. Our code run on XGBoost and submission file on Kaggle scored 0.34507 on the Leaderboard.
Language:Jupyter Notebook 1naveensrinivasan / Instacart-delivery-availability
Code that finds available delivery slots for Instacart
Language:Go 1rachelleperez / Instacart-Market_Basket_Analysis
Capstone Project for Data Analyst Training Accelerator (DATA) program from Galvanize in partnership with NYC Tech Talent Pipeline. This project looks into the performance of Instacart's developing alcohol segment in relation to its core business.
Language:Jupyter Notebook 1SamSamhuns / kaggle_competition_instacart_market_basket_analysis
This project is an analysis of user grocery shopping orders of over 3 million grocery orders from more than 200,000 anonymized Instacart users. It uses Instacart's first public dataset release, “The Instacart Online Grocery Shopping Dataset 2017” download from Kaggle.
Language:Jupyter Notebook 1- Association-Rule-Mining-for-Instacart
shimonyagrawal / Association-Rule-Mining-for-Instacart
This repository contains coursework for the Market and Economic Research and Analysis course in the MS Applied Business Analytics program at Boston University.
a-smp / instacart-sales_python
The Python project focuses on analyzing Instacart sales data to identify distinct customer profiles, ultimately enhancing marketing strategies through improved customer segmentation.
Language:Jupyter Notebook 0- kaggle_instacart_challenge
fonsofhervella / kaggle_instacart_challenge
This project will use the Instacart data provided for the Kaggle challenge. We will perform a deep EDA and we will build a recommender using Word2vec embeddings
Language:Jupyter Notebook 0 harris-wan-analyst / instacart_proj
SQL + Tableau Instacart Analysis
0mponiman / CapstoneProject
Identifying customer preferences, recommend product and predict next order
Language:Jupyter Notebook 05hraddha / eda-instacart-customers-shopping-habits
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
Language:Jupyter NotebookHamza-Sajid / E-Commerce-Application
An e-commerce application inspired by InstaCart built using MERN stack
Language:TypeScriptImranR98 / InstacartFlation
A Python script that scrapes your Instacart order history and saves the data in a JSON file.
Language:Pythonjodiambra / Instacart-EDA
Conducting EDA on Instacart orders
Language:HTMLolimaandreza / python-association-rule
Estudo de caso para análise de regras de associação (InstaCart data)
Language:Jupyter Notebook- Language:Jupyter Notebook
SaurabhPoman96 / Instacart-Market-Basket-Analysis-
About The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.
Language:Jupyter Notebook
