#22 Introduction to Classification Case Study | Python for Data Science

Welcome to 'Python for Data Science' course !

This video marks a shift from individual techniques to a real-world data science problem: classifying personal income for subsidy allocation. It introduces a case study with a company using a dataset to predict whether an individual's income is above or below $50,000.
You'll be introduced to the dataset, which includes 12 features like age, education, occupation, and hours worked per week, with "salary status" as the target variable (). The lecture explains how this problem can be tackled using classification algorithms and sets the stage for exploring different modeling approaches in subsequent lectures.
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#Classification #CaseStudy #Subsidies #IncomePrediction #Features #BinaryClassification

[viss]

The way he speaks is irritating.. that aa aaa aaa.... Sound after every word.. Can't watch the lecture with that sound

[poojabehera]

Clustering comes under unsupervised ML category

[akashagrawal]

could you tell me from where i can get the file income.csv ??