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House Rent Analysis and Prediction of Mumbai #444 #523

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1,001 changes: 1,001 additions & 0 deletions House rent analysis and prediction of Mumbai/Dataset/house_rent_mumbai.csv

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54 changes: 54 additions & 0 deletions House rent analysis and prediction of Mumbai/Model/ReadMe.MD
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## **House Rent Analysis and Prediction of Mumbai** ##

## **Goal:** ##

Analyse and predict the rent of house in Mumbai.

## **Dataset:** ##

https://www.kaggle.com/datasets/lokeshgupta2020/house-rent-in-mumbai


## **What I Had Done:** ##
* Reading the data in python
* Basic Exploration of data
* Cleaning the data and transforming it to be useful for basic analysis
* Visual Data exploration
* Made Different ML Models

## Analysis of Data Visualization:

### Pairplot of numerical values
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/4902a45c-8124-454d-b79b-b493a5755446" width="600">

### Heatmap
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/a4111dca-d07e-47f1-b707-81c171b9d021" width="600">

### Boxplot for size
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/2e1796ca-5876-4aab-80eb-8c6c0a0e91f5" width="600">

### Boxplot for area
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/dd95831a-7e80-44c8-83be-0d35c33b78b1" width="600">

### Boxplot for price
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/c15cd273-5609-40f0-9080-dc778ed7652f" width="600">

### Boxplot after removing the outliers
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/f8410994-4ff7-4745-bc56-f460ae8afb74" width="600">

## Libraries Needed:
* pandas - To manipulate dataframes
* seaborn - To visualise data
* matplotlib - To visualise data
* Scikit-learn - To Import Classical ML Models

## Model Conclusions:
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/e14dbb9e-0ba8-48ad-a5c0-8684d5c1ff77" width="600">

* So for our model Random Forest Regressor is the best for our model as it is having the highest accuracy among other Models we have made.

## Model's Score Visualization:
<img src="https://github.com/raysofani/House-rent-analysis-and-prediction-Bombay/assets/129651614/1d76e829-ce82-47d2-a09e-58476702b45a" width="600">

## Contributed By:
Aniket Ray
6 changes: 6 additions & 0 deletions House rent analysis and prediction of Mumbai/requirements.txt
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matplotlib==3.4.2
seaborn==0.9.0
numpy==1.21.1
pandas==1.3.0
scikit_learn==1.0.2