akash1070 / house-sale-forcast-webapp

predicting house sale forcast app using flask

Building And Deploying House Sale Forcast App

• This repository consists of files required to deploy a Machine Learning App created with Flask on Heroku platform. app: http://127.0.0.1:5000/

Authors

• @Akash Kumar Jha

Deployment

1. Data Extraction
2. Exploratory Data Analysis(EDA)
3. Feature Engineering
4. Model Building and Tuning
5. Building Flask API
6. Pushing code to Github
7. Connecting to your Heroku account 
8. Deploy App

Installation

To install the libraries used in this project. Follow the below steps:

import numpy as np
from flask import Flask, request, jsonify, render_template
import pickle
import matplotlib.pyplot as plt
import pandas as pd
import requests

Running Flask Api

To run tests, run the following command

  python app.py

🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data

Hi, I'm Akash! 👋

🔗 Links

Tech Stack

Other Me

👩‍💻 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