To help Landlords, Tenants and Investors accurately price rental apartment to create a transparent and easy to navigate rental market, and thereby improving the efficiency of their investment returns.
Use the package manager pip or homebrew to install any necessary packages for your environment if you are running on local machine.
pip install geopandas
OR
brew install geopandas
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set();
%matplotlib inline
from shapely.geometry import Point
import geopandas as gpd
from geopandas import GeoDataFrame
import plotly.express as px
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.linear_model import LinearRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
Download the dataset from here
Simply clone and run .ipynb file
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.