Giter VIP home page Giter VIP logo

descriptive_statistics_project's Introduction

Analysing House Prices using Descriptive Statistics

Welcome to the Descriptive Statistics Project! In this project, you will demonstrate what you have learned in this course by conducting an experiment dealing with House Prices.

We have seen in the in-class session how Descriptive Statistics helps us understand the data carefully. We learnt about:

  • Measures of centrality
  • Measures of spread
  • Correlation

You can use any numpy and matplotlib objects for the purpose of this exercise.


For this exercise, we will use the House Prices dataset, which we have already discussed in the session. The dataset contains SalePrice of around 1400 houses. The dataset is a part of a larger dataset. You can read about the dataset description here.

Why solve this assignment?

Solving this assignment would help you :-

  • Learn to summarise huge datasets using a small number of parameters

  • Learn how correlation can be an important tool to understand data, but also can mislead to spurious insights

  • For the assignment we will be using the following below packages:

    • matplotlib
    • numpy
    • pandas

By completing this project you have an opportunity to win 250 points!

Let's get started!

descriptive_statistics_project's People


mayureshshilotri avatar codebeast77 avatar shwedosh avatar adimyth avatar cchopade avatar jay-trivedi avatar sonik8494 avatar bicky23 avatar abhisheksubu92 avatar mahesh0723 avatar pradeepjaiswar avatar surajhell88 avatar bhushan45 avatar gyandhanee avatar


James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.