You will get Real estate price prediction
Project details
Real Estate Price Prediction Project
This project focused on predicting real estate property prices using advanced statistical and machine learning techniques in R. The dataset included property features such as location, size, number of rooms, and amenities. I performed extensive data preprocessing, including handling missing values, removing outliers, and standardizing variables. For model building, I applied Linear Regression and Random Forest models, comparing their performance to minimize prediction error. Data visualization with ggplot2 and Tableau was used to uncover market trends and highlight key drivers of price variation. The final model delivered accurate price forecasts, which helped stakeholders make informed decisions about property investment and pricing strategies.
This project focused on predicting real estate property prices using advanced statistical and machine learning techniques in R. The dataset included property features such as location, size, number of rooms, and amenities. I performed extensive data preprocessing, including handling missing values, removing outliers, and standardizing variables. For model building, I applied Linear Regression and Random Forest models, comparing their performance to minimize prediction error. Data visualization with ggplot2 and Tableau was used to uncover market trends and highlight key drivers of price variation. The final model delivered accurate price forecasts, which helped stakeholders make informed decisions about property investment and pricing strategies.
Data Tool
RWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$25
|
|---|---|---|---|
| Delivery Time | 8 days | 10 days | 15 days |
Number of Pages Mined/Scraped | 22 | 32 | 45 |
Number of Sources Mined/Scraped | 2 | 5 | 8 |
Number of Revisions | 1 | 2 | 3 |
About Hari
Data cleaning| Data Visualization, Visualization, R, SQL
Seorinarayan, India - 3:22 am local time
Experienced data analyst with a proven track record of using R, machine learning, and predictive analysis to solve business problems. Seeking a challenging role where I can use my skills to make a significant impact and help further your organization's goals. Able to work independently as well as part of a team, able to produce creative and innovative ideas.
Steps for completing your project
After purchasing the project, send requirements so Hari can start the project.
Delivery time starts when Hari receives requirements from you.
Hari works on your project following the steps below.
Revisions may occur after the delivery date.
1
Data cleaning and preparation steps Model building process Evaluation metrics Graphs (Actual vs Predicted, Residuals Distribution, Residuals vs Predicted) A section on how it helped the client with decision-making