A simple script that predicts the house price using Zillow's csv data file

A prices estimator comprising of various items using machine learning

house price prediction for Turkey (Test Phase)

This project aims to provide web application for house price prediction. EDA, model comparison through Pycaret, hyper-parameter tuning and making pipeline model are included. The result is shown as a web application.

Streamlit-based web app for predicting house prices using machine learning models trained on Paris housing data.

This project aims to analyze the Bengaluru House Data using Python. The dataset is loaded from a CSV file named "Bengaluru_House_Data.csv" and is analyzed to gain insights into the housing market in Bengaluru.

My ML Learning projects

The objective of this project is to apply my knowledge of data science and machine learning to create a house price prediction model in a well documented fashion

This project uses the data collected (Web Scrapped) from a website that list the houses for sale in Rwanda, and employs machine learning to predict the price of a house given its neighborhood, plot size, number of bedrooms and bathrooms, etc.

This is a project of Data Mining course in the National Taiwan University. The mission is to predict the house prices in Taipei and New Taipei.

PRODIGY INTERNSHIP - MACHINE LEARNING During my internship at Prodigy Infotech, I tackled diverse machine learning projects: House Price Prediction with linear regression. Customer Segmentation via K-means clustering. Cat vs Dog classification using SVM. Hand Gesture Recognition with CNNs. Food Recognition and calorie estimation from images.

This repository contains a project that presents the exploratory data analysis and predictive modelling of house prices in Austin, Texas using data from 2018 to 2021.

An analysis of house prices in Beijing

Doing house price prediction using Neural networks

This project employs linear regression to predict property prices based on key features. Through thorough data cleaning, preprocessing, and feature engineering, the model is fine-tuned for accuracy. With insights from exploratory data analysis, the model offers reliable estimates, aiding stakeholders in informed decision-making.

House-Price-Prediction-App

This repository is dedicated to retrieving and analyzing house advertisements from real estate websites.