This dataset describes hotel demand data. One of the hotels is a resort hotel and the other is a city hotel. it contains 31 variables describing the of 119390 observations. Each observation represents a hotel booking. the bookings arrival is between the 1st of July of 2015 and the 31st of August 2017, including bookings that effectively arrived and bookings that were canceled.
- download the notebook and the csv file in the hotel_bookings folder
- run the notebook to view all the graphs
- if you faced any problem with any libraries, try to run the command : pip install 'library name'
This data set describes the student performance in various subjects and in this project aims to find what factors can play a role in the student grades
- download the notebook and the csv file in the student performance folder
- run the notebook to view all the graphs
- if you faced any problem with any libraries, try to run the command : pip install 'library name'
This dataset describes the various features of houses and their prices the full description for all features is in the data_description.txt file
- download the notebook and the csv file in the House_prediction_dataset folder
- run the notebook to view all the graphs
- re-runing the file will result in different evalution matrices
- if you faced any problem with any libraries, try to run the command : pip install 'library name'
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent