Pinned Repositories
Ad-Marketing-Customer_segmentation
Akshaybhat5
Config files for my GitHub profile.
Alexa-Product-Analysis
Amazon's Alexa product analysis.
bank_note_authentication
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Diabetes-Predictor
email_spam_classifier
Employee-Attrition
There are very few people who begin and end their careers in one company. Most people move on after a time, or the company forces them to move on with an involuntary termination. People leaving organizations seems like a quite straightforward matter, but there is a lot to unpack with employee attrition.
GenerateFile
IMDB-Movie-Dataset-50K
Akshaybhat5's Repositories
Akshaybhat5/Akshaybhat5
Config files for my GitHub profile.
Akshaybhat5/NLP-Sentiment-On-Restaurants
Akshaybhat5/llm_demo_purpose
Akshaybhat5/Plaict_dashboard_demo
Akshaybhat5/Akshaybhat5.github.io
Akshaybhat5/pan_card_tampering
Akshaybhat5/pro-ml
Akshaybhat5/post_man_api_deploy
Akshaybhat5/A-B-Testing
Akshaybhat5/smart-mirror
Akshaybhat5/important_documents
Akshaybhat5/ml
Akshaybhat5/Statistic-Tests
Akshaybhat5/AB-Testing
Akshaybhat5/Employee-Attrition-dataset
Akshaybhat5/BHP-Flooding-Attack-Detection
Akshaybhat5/quora-duplicate-question-pairs
Akshaybhat5/slang_translator_text
Akshaybhat5/r4ds
R for data science: a book
Akshaybhat5/Laptop-Price-Prediction
Akshaybhat5/Multicolinearity
Akshaybhat5/Multiple-Linear-Regression
Akshaybhat5/School-Donation-Analysis
Akshaybhat5/Restaurant_Review_System
Akshaybhat5/streamlit_setup_file
Akshaybhat5/email_spam_classifier
Akshaybhat5/bank_note_authentication
Akshaybhat5/IMDB-Movie-Dataset-50K
Akshaybhat5/GenerateFile
Akshaybhat5/FLASK-End-to-end-Zomato-Restaurant-Price-Prediction-and-Deployment
# **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset. Build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features DEPLOY the Machine learning model via Flask that can be used to make live predictions of restaurants ratings A step by step guide is attached to this documnet as well as a video explanation of each concpet. Zomato is one of the best online food delivery apps which gives the users the ratings and the reviews on restaurants all over india.These ratings and the Reviews are considered as one of the most important deciding factors which determine how good a restaurant is. We will therefore use the real time Data set with variuos features a user would look into regarding a restaurant. We will be considering Banglore City in this analysis. Content The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry has’nt been saturated yet and the demand is increasing day by day. Inspite of increasing demand it however has become difficult for new restaurants to compete with established restaurants. Most of them serving the same food. Bengaluru being an IT capital of India. Most of the people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves. With such an overwhelming demand of restaurants it has therefore become important to study the demography of a location. What kind of a food is more popular in a locality. Do the entire locality loves vegetarian food. If yes then is that locality populated by a particular sect of people for eg. Jain, Marwaris, Gujaratis who are mostly vegetarian. These kind of analysis can be done using the data, by studying the factors such as • Location of the restaurant • Approx Price of food • Theme based restaurant or not • Which locality of that city serves that cuisines with maximum number of restaurants • The needs of people who are striving to get the best cuisine of the neighborhood • Is a particular neighborhood famous for its own kind of food. “Just so that you have a good meal the next time you step out” The data is accurate to that available on the zomato website until 15 March 2019. The data was scraped from Zomato in two phase. After going through the structure of the website I found that for each neighborhood there are 6-7 category of restaurants viz. Buffet, Cafes, Delivery, Desserts, Dine-out, Drinks & nightlife, Pubs and bars. Phase I, In Phase I of extraction only the URL, name and address of the restaurant were extracted which were visible on the front page. The URl's for each of the restaurants on the zomato were recorded in the csv file so that later the data can be extracted individually for each restaurant. This made the extraction process easier and reduced the extra load on my machine. The data for each neighborhood and each category can be found here Phase II, In Phase II the recorded data for each restaurant and each category was read and data for each restaurant was scraped individually. 15 variables were scraped in this phase. For each of the neighborhood and for each category their onlineorder, booktable, rate, votes, phone, location, resttype, dishliked, cuisines, approxcost(for two people), reviewslist, menu_item was extracted. See section 5 for more details about the variables. Acknowledgements The data scraped was entirely for educational purposes only. Note that I don’t claim any copyright for the data. All copyrights for the data is owned by Zomato Media Pvt. Ltd.. Source: Kaggle