Jupyter project, Linear regression on NYC house sales

For this project you will:

need to complete all inside of jupyter notebook ##commenting allong the way, find the best and worst spots to invest

here is the suggested imports (dont have to use all)

import [login to view URL] as plt

import numpy as np

import pandas as pd

import random

import [login to view URL] as plt

Source a dataset ---> Complete

Formulate a hypothesis about the data

Clean the data

Create a model using one of the techniques taught in the course

Use validation techniques to assess how well the model fits your data

Develop visuals

Discuss any relevant insights

As part of the project requirements you will present your findings in a presentation to the class, including:

Why you chose your dataset

Your hypothesis

Your initial discovery process

How you refined the dataset (what steps did you have to do to prepare your data for analysis?)

The techniques you used to model the data and test it's validity

The insight you gained from your model

Key visuals to represent your findings

Statistical Analysis Research Writing Statistics Data Science Python

Project ID: #27450889

About the project