Metis Data Science Bootcamp : Project Directory

Project - 1- Multiple linear regression problem using House Price Data. “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.

Within this undertaking, a range of regression methodologies shall be explored in order to address a compelling conundrum.

Linear Regression, Logistic Regression, ML Pipeline

This repository uses a simple linear regression to predict house prices in US $ based upon areas in sq ft.

Predicting Property Prices in Pakistan

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 activities for data mining course, spring 2019

Work done on kaggle compitations

Predict house prices using Gradient Boosting Regressor.

Advanced Regression Techniques: House Prices

👷‍♀️Computer Architecture Course Projects, University of Tehran

A house price prediction project is a data-driven approach to estimating the future value of a residential property using statistical and machine learning techniques with the goal of providing insight and forecasting capabilities.

This is data analysis powerful exam paper powered by Coursera. Which i solved using python simple way. Data Analysis, Data Visualization, Model Development, Data warangling, Model Evolution And Refinement most of the important topic are covered in this repo..

Using data science techniques to discover whether building more homes has an impact on sales prices and the affordability of housing

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad.

Dealing with Missing values using ML