https://github.com/akash1070/year-of-marriage-prediction-model-on-aws
year of marriage prediction model on AWS
https://github.com/akash1070/year-of-marriage-prediction-model-on-aws
aws aws-ec2 pickle random-forest-regressor train-test-split ubantu
Last synced: 7 months ago
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year of marriage prediction model on AWS
- Host: GitHub
- URL: https://github.com/akash1070/year-of-marriage-prediction-model-on-aws
- Owner: Akash1070
- Created: 2022-09-16T04:45:29.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-16T05:04:06.000Z (about 3 years ago)
- Last Synced: 2025-01-29T11:52:19.694Z (9 months ago)
- Topics: aws, aws-ec2, pickle, random-forest-regressor, train-test-split, ubantu
- Language: Jupyter Notebook
- Homepage:
- Size: 757 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# **End-To-End Deployment of Year Of Marriage Prediction Using AWS**
The main agenda of this project is:
1. Perform extensive Exploratory Data Analysis(EDA) on the Marriage Dataset.
2. Build an appropriate Machine Learning Model that will help various Dar to predict their Year Of Marriage based on certain features
3. Deploy the Machine learning model via AWS that can be used to make live predictions of Year Of Marriage.
## Authors
- [@Akash Kumar Jha](https://github.com/Akash1070)
## Installation
To install the libraries used in this project. Follow the
below steps:
```bash
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_absolute_error, r2_score
import pickle
```
## Deployment
To Deploy the libraries used in this project. Follow the
below Codes:
Type the command ssh -i aws-key.pem ubuntu@(add your Private Private
IPv4 addresses)
Type chmod 400 aws-key.pem to get rid of the error
Check to see if you have Python 3 installed: python3 -V
Let’s update all the existing packages: sudo apt-get update
Check if pip is installed, else install it. pip
If pip is not installed, download pip: curl -O https://bootstrap.pypa.io/get-pip.py
Update
Install pip: sudo python3 get-pip.py
Install Flask: sudo pip install flask
Install the following as well
sudo pip install flask_cors
sudo apt-get install apache2
sudo pip install sklearn
sudo apt-get install libapache2-mod-wsgi-py3
Let’s do some configurations: sudo vi /etc/apache2/sites-enabled/000-default.conf
Copy and paste the following codes:
DocumentRoot /home/ubuntu/mlapp
WSGIDaemonProcess flaskapp threads=5 python-home=/usr/local/lib/python3.5/site-packages/ user=ubuntu
WSGIScriptAlias / /home/ubuntu/mlapp/flaskapp.wsgi
WSGIProcessGroup flaskapp
WSGIApplicationGroup %{GLOBAL}
Require all granted
Now press escape(esc) followed by :wq! then press enter to exit
Create file flaskapp.wsgi at mlapp directory
The Web Server Gateway(wsgi) Interface is a simple calling convention for web servers to forward
requests to web applications
Steps:
irst create a directory: mkdir mlapp
cd to the directory: cd mlapp/
vi flaskapp.wsgi
import sys
import site
site.addsitedir(‘/home/ubuntu/.local/lib/python3.5/site-packages’)
sys.path.insert(0, ‘/home/ubuntu/mlapp’)
from app import app as application
Make sure you have saved your model and app.py file
Move your files to AWS
NB: do this from a new Terminal or Command Prompt
cd to the deployment folder
Then type: scp -i (path to was key) -r app.py ubuntu@(add your public key here):/home/ubuntu/mlapp
Confirm to see if you have all files: ls
Restart the server: sudo apachectl restart
Check log incase you run into any error: cat /var/log/apache2/error.log
Use vi (File Name). to see the error and fix it.
restart the server again
Test your App by copying and pasting your public key (e.g. 157.36.87.192) into your browser
```
## Running Flask Api
To run tests, run the following command
```bash
python app.py
```
## 🚀 About Me
Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data
# Hi, I'm Akash! 👋
## 🔗 Links
[](https://github.com/Akash1070)
[](https://www.linkedin.com/in/akashkumar107/)
## Tech stack
## Other Common Github Profile Sections
👩💻 I’m interested in Petroleum Engineering
🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics
👯♀️ I’m looking to collaborate on Ideas & Data
## 🛠 Skills
1. Data Scientist
2. Data Analyst
3. Business Analyst
4. Machine Learning
## Future Plans
⚡️ Looking forward to help drive innovations into your company as a Data Scientist
⚡️ Looking forward to offer more than I take and leave the place better than i found