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Visualizing Anomalies in the Dataset

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Visualizing Anomalies in the Dataset

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Visualizing Anomalies in the Dataset

  • English
  • Data Science
  • Data VisualizationData Visualization
  • (0)
  • Project length: 0h 00m

In this project, we will learn how to visualize data using different python visualization libraries such as Matplotlib and Seaborn. We will also look at how to extract, clean, transform and load the data from different files into Dataframes.

Overview

Introduction

In this project, we will learn how to visualize data using different python visualization libraries such as Matplotlib and Seaborn. We will also look at how to extract, clean, transform, and load the data from different files into Dataframes. Dataframes are special data structures used specifically for storing data and helps us to visualize it. You will also learn how to use the Pandas library along with Matplotlib and Seaborn to create stunning dashboards. You will learn How to plot different types of Plots, Charts, Graphs, and also customize them as per your requirements. While learning Data Science it's always the best thing to solve case studies in order to grasp the concepts more effectively.

What are the requirements?

  • Basic knowledge of how to use Integrated Programming Environment (IDE)
  • Basic knowledge of Python Programming Knowledge.

What is the target audience?

  • Anyone who is willing to learn the cutting edge technologies.
  • Anyone who is interested in Learning how to leverage different libraries for Data Visualization
  • Anyone want to learn how to Visualize Anomalies in the Dataset

Project Outline

The project outline explains what you will learn in each session

In this video, I will show you What are the requirements and how to setup Project Environment.

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