This is a Machine Learning Python Project which is a given a large dataset to work with, it collects all the data from dataset and builds it price with different information
https://horizonml.herokuapp.com/
Step 01: Clone or download the repo to your local drive
Step 02: Observe data.csv carefully
Step 03: Delete all the other .csv files (except data.csv)
Step 04: Go to https://jupyter.org/try and use the Jupyter Notebook
Steo 05: Upload all the four .ipynb files and the data.csv file
Step 06: Open up each one, part by part, run and check for any errors that might come
Step 07: Files deleted in Step 3 will be created after each part (using them without Notebook files will create errors)
Step 08: Check and make sure all the files are working error free
Step 09: Download all(only) the created files and sort them into one folder
Step 10: Open up your IDE or a text editor with Live Server support (prefarbly Visual Studio Code)
Step 11: Open up static folder and template html files and make custom changes to the webpage
Step 12: Once done, push all the files to Github through CLI or GIU
Step 13: To deploy the app, go to https://www.heroku.com
Step 14: Create an account or log in to existing account
Step 15: Click on New and then Create new app. Select a unique App name and click Create App
Step 16: On the next page, find and click the option 'Connect to Github'
Step 17: Click on Search and connect to the repository you created on GitHub
Step 18: Scroll and click on Deploy branch
Step 19: Wait for the app to complete the deploy process
Step 20: You can now click on Open app to visit you Web App.
#Enjoy your hardwork