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datahandling's Introduction

Data Handling Hands-on

What is Data Handling?

  • This Repo is hands-on practice on Data Handling task.
  • Data handling can be defined as collecting sets of data, maintaining security, and the preservation of the research data.
  • Data handling can be represented visually in the form of graphs. data-handling-1633087089

Operations Performed

  • Exploratory Data Analysis
  • Handling Missing Values
  • Standardlization
  • Normalization
  • Descretization
  • Sampling
  • Dimensionality Reduction

Libraries Used:

  • numpy
  • pandas
  • matplotlib
  • sklearn

References:

  1. Data Exploration Turorial
  2. Dataset is Donwnloaded from UCI Machine Learning Repository

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