A Machine Learning based Prediction Model on HousePrice Dataset

training the model for the kaggle housePrice dataset

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This is a BigData analysis project with dataset of HousePrice and CarAccident

Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model. The used dataset is a "Houseprice" dataset.

HousePrice-Prediction-data->Predict house price using best model. Import necessary library, Import dataset, Data cleaning, EDA, Model building, Model evaluation.

Exploratory data analysis was done using powerBi for the houseprice dataset accquired from Kaggle. The link of the dataset is as follows : https://www.kaggle.com/lespin/house-prices-dataset?select=train.csv

Reasoning: LinearRegression: Indicates the machine learning model used. HousePrice: Reflects the context of the synthetic dataset (house size vs. price). Plotly: Highlights the visualization library, which is a key component. The name is concise, descriptive, and follows a common naming convention for data science projects (e.g., model-task-tool).

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HousePrice_Dataset_Problem_Statement

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preactice of kaggle houseprice dataset

applied decision_tree and Random_forest ml model on housepricing dataset

machine learning prediction model

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EDA ON HOUSEPRICE DATASET USING PYTHON

exploratory data analysis on houseprice dataset

Practice data analysis with HousePrice dataset

exploratory data analysis on houseprice dataset

Exploratory Data Analysis for HousePrice dataset

EDA and model fitting for the dataset houseprice.

Using the houseprices dataset to build a predictive regression algorithm

It consist of Analysis on the Houseprice dataset with problem statement

This repository is about the different methods we can use for HousePrice Dataset

This is a housepricing prediction model built using the California House Price dataset to be able to predict the price of future houses in the district.

Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model. The used dataset is a "Houseprice" dataset.

Perform analysis on the HousePrice dataset, such as adding new columns, looking for outliers, and performing data visualization

Task 1 of the Bharat Intern ML internship which involves building a basic Linear Regression model. The used dataset is a "Houseprice" dataset.

A simple Feed Forward Neural Network trained to predict the price of houses on the houseprice.csv dataset.

Implementation of Multiple Linear Regression using OLS, Normal Equation, and Gradient Descent with error metrics on the HousePrice dataset.