Giter VIP home page Giter VIP logo

eda_project's Introduction

EDA(Exploratory Data Analysis) Implementation using Python

How to ensure you are ready to use machine learning algorithms in a project? How to choose the most suitable algorithms for your data set? How to define the feature variables that can potentially be used for machine learning?

Exploratory Data Analysis (EDA) helps to answer all these questions, ensuring the best outcomes for the project.

This project concerns the preliminary analysis and illustration of data related to House Prices of 1400 houses in New York.

What we have learnt so far?

  • Initial Exploration
  • Introduction to Seaborn
  • Univariate Analysis
  • Multi-variate Analysis

What are we going to do in this project :

  • We will be using House Pricing dataset for Exploratory Data Analysis(EDA).
  • You will Learn to use Matplotlib and Seaborn to Plot the one or more than one Features.
  • We will be using visualization techniques on dataset and get some meaningful insights.

How will completing this project help you

  • EDA helps in first level of analysis of data.
  • We will analyse the data before making any intuition or assumptions, by plotting it.
  • To sharpen your analytics skills before going into feature selection.

Also, EDA helps use to analyse the following types of features:

  • Categorical Features
  • Numerical Features

You can revise and refer to the EDA from the slides.

For the assignment we will be using the below packages :

  • matplotlib
  • seaborn

We will be working with the following features below:

  • YearBuilt
  • TotalBsmtSF
  • GrLivArea
  • SalePrice

If you want to have a detail description look at the data description given in data folder click here.

By completing this project you have an opportunity to win 300 points

Let's get started!

Note :- include the line plt.switch_backend('agg') in every

eda_project's People


codebeast77 avatar adimyth avatar mayureshshilotri avatar bhushan45 avatar sonik8494 avatar bicky23 avatar jay-trivedi avatar abhisheksubu92 avatar alex19427 avatar mahesh0723 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.