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Edubridge_Data_Analytics

This repository contains all the projects done during my training at EduBridge during Jan 2021 - July 2022 presented in the form of jupyter notebook ,pdf

Tools

  • Python:Python3, Numpy, Pandas, Seaborn, Matplotlib

Skills

  • Python3
  • Data analysis
  • Data visualization
  • Statistics
  • R
  • Machine Learning
  • Tableau

Contents


  • Assignments

  • Projects

Assignments


  • - Python Assignments
    • All types of assignments done using python are here
  • - R Assignments
    • All the assignments done using R language are shown here
  • - Statistics Assignments
    • All the assignments related to statistics are shown here

Projects

  • Data Visualization using Excel and Tableau

    • - Cervical cancer

    - Superstore data Dashboard
  • EDA using Python

    • - Data analysis - Heart disease     :- In This explored the data. We observed the data of patients who have no heart disease and those who have.This also contains the visualization part

    - Superstore data analysis     :- In this explored the data. We observed the data of sales.This also contains the visualization part also.

    - Video games sales analysis     :- In this explored the data. We observed the data of sales of each video games .This also contains the visualization part also.

    - Wine data analysis     :- In this explored the data. We observed the quality of the wine, by observing the factors effecting that.This also contains the visualization part also.
  • Python Game

    • -Simple game     :-this is a game of some computer related questions. It will check the answers and give the total result
  • Wordcloud

    -Wordcloud     :- This wordcloud is used to create a poster like image consist of unordered words in different colours
  • Web Scrapping

    • -Flipkart     :- Web scrapping is used to take required informations from a site here some information collected from flipkart site
  • Machine Learning Case Studies :

    • -HR Satisfaction     :- In this explored the data and check with some machine learning model to predict the HR satisfaction level
    -Gender Submission     :- In this explored the data have the eda part also and check with the machine learning models to predict who will survive and those who dont