Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Oppiskele Import Necessary Libraries and Data | Clustering Demystified
Clustering Demystified
course content

Kurssisisältö

Clustering Demystified

Clustering Demystified

IntroductionImport Necessary Libraries and DataPreliminary AnalysisData PreparationDeclare Feature Vector and Target VariableConvert Categorical Variable into IntegersFeature ScalingK-Means Model with 2 ClustersCheck the QualityHow many Clusters?K-Means Model with 4 Clusters

bookImport Necessary Libraries and Data

Firstly, we need to import all necessary modules, upload the data, and visually examine it.

Modules and methods description

  • numpy (np): Essential for numerical computing and array operations;
  • pandas (pd):
    • read_csv(): Facilitates reading CSV files into DataFrame for data analysis;
    • DataFrame.head(): Offers a quick glimpse of the initial rows in the DataFrame.
  • matplotlib.pyplot (plt): Enables creating various types of plots for data visualization;
  • seaborn (sns): Enhances statistical data visualization based on matplotlib.
Tehtävä

Swipe to start coding

  1. Import numpy, pandas, matplotlib.pyplot and seaborn (as np, pd, plt, and sns, respectively).
  2. Read the "Live.csv" file.
  3. Show the first 5 rows of the dataset.

Ratkaisu

Mark tasks as Completed
Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 1. Luku 2
AVAILABLE TO ULTIMATE ONLY
some-alt