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Data Science Report On
“Uber data analysis”
Submitted in the fulfillment of the requirements
For the Degree of
Bachelor of Technology
in
Electronics & Telecommunication Engineering
By
Chinmay Vishwas Sagajkar (2014110977)
Samarth Rikhe (2014110976)
Akshat Singh (2014110997)
Anuraag Rampalli (2014110974)
Under the guidance of
Prof. D.K Ray
Department of Electronics & Telecommunication Engineering Bharati Vidyapeeth (Deemed To Be University) College of Engineering, Pune – 4110043 Academic Year 2021-
BHARATI VIDYAPEETH (DEEMED TO BE UNIVERSITY) COLLEGE OF ENGINEERING, PUNE – 4110043 DEPARTMENT OF ELECTRONICS& TELECOMMUNICATION ENGINEERING CERTIFICATE
Certified that the project report entitled, “Books recommendation system using
machine learning” is a bona fide work done by Chinmay Vishwas Sagajkar ,
Samarth Rikhe, Akshat Singh, and by Anuraag Rampalli in fulfilment of the
requirements for the award of degree of Bachelor of Technology in Electronics
& Telecommunication Engineering.
. Date: Prof. DK Ray Project Coordinator
Index
Sr No. Content Page No.
1 Introduction 1
The project 2 Technologies used 3
2 Methodology 3
Database 3
Database Description
Python database connection 4
Code structure 4
3 Code Description 5
Untitled0.ipynb 6
4 Result and Conclusion 10
Executing Login operation 10
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The project:
The project Book Recommendation System is a type of recommendation system where we have to recommend similar books to the reader based on his interest. The books recommendation system is used by online websites which provide ebooks like google play books, open library, good Read’s, etc.
Technologies used:
To develop the recommendation interface we have used PYTHON programming language. We have used the GOOGLE COLAB to run the code to recommend the book to the user. We have created a dataset of 100 books. we have stored the data of 100 books in a tabular form in which we have stored the BOOK ID , TITLE , SERIES , AUTHOR , DISCRIPTION , RATING , LANGUAGE Using a .csv The database of this project is hosted in the google colab server of the system itself which uses the google drive to store the data. When we need the recommended books for the user we have to run the given code and give the Title to which we need to get recommended books for user. send the data to the server and to the server and when someone enters their required title theprogram runs queries, fetches the data from server and find the recommended books for the user.
METHODOLOGY
The database:
We have created a database in .csv format A CSV is a comma-separated values file, which allows data to be saved in a tabular format. CSVs look like a garden- variety spreadsheet but with a. csv extension. CSV files can be used with most any spreadsheet program, such as Microsoft Excel or Google Spreadsheets. We first need an ER (Entity relationship) model for our database. An entity- relationship diagram, or ER diagram, is essential for modelling the data stored in a database. It is the basic design upon which a database is built. ER diagrams specify what data we will store: the entities and their attributes. They also show how entities relate to other entities. Introduction
Code Screenshot
