rnair7163 / Restaurant-Recommendation-System-using-Yelp-DatasetLinks
Building a Recommendation System for customer using Yelp dataset of restaurants.
☆27Updated 2 years ago
Alternatives and similar repositories for Restaurant-Recommendation-System-using-Yelp-Dataset
Users that are interested in Restaurant-Recommendation-System-using-Yelp-Dataset are comparing it to the libraries listed below
Sorting:
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆44Updated last year
- A list of working examples of Data Science Use Cases and Applications by Industry☆63Updated 5 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…☆149Updated 2 years ago
- Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"☆96Updated 2 years ago
- TensorFlow: Advanced Techniques Course material on cousera this repository is for learning purpose.☆61Updated 3 years ago
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆95Updated 2 years ago
- Complete-Life-Cycle-of-a-Data-Science-Project☆619Updated last year
- Applying Data Science and Machine Learning to Solve Real World Business Problems☆404Updated 5 years ago
- This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset☆64Updated 7 years ago
- This is repository for a project of AI movies recommendation system based on k-means clustering algorithm.☆26Updated 4 years ago
- My solutions to the programming exercises in the TensorFlow Developer Professional Certificate on Coursera, by deeplearning.ai☆18Updated 3 years ago
- This repo contains my loan approval prediction project in Python.☆29Updated 6 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆69Updated 6 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆52Updated 7 years ago
- Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from …☆39Updated 5 years ago
- ☆35Updated 4 years ago
- Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)☆60Updated 3 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…☆89Updated 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
- Coursera's Deep Learning Specialization offered by deeplearning.ai.☆45Updated 3 years ago
- Data science interview questions and answers☆22Updated 4 years ago
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆16Updated 4 years ago
- Contains the coursera capstone project☆40Updated 2 years ago
- Implemetation of ML models for predticting used car prices☆19Updated 5 years ago
- 🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDF…☆113Updated 2 years ago
- Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI☆213Updated last year
- ☆63Updated 4 years ago
- Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …☆173Updated last year
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆47Updated 4 years ago
- [Project repo] On People Analytics for predicting employee turnover. (Employee Experience article included)☆32Updated 5 months ago