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YouTube

Hands-on Python: Analysis and Prediction of Bangalore House Price Data

NPTEL-NOC IITM via YouTube

Overview

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Analyze and predict Bangalore house prices using Python in this 33-minute hands-on tutorial. Gain practical experience working with real estate data, applying data analysis techniques, and developing predictive models to understand the factors influencing property values in Bangalore. Learn to manipulate and visualize datasets, implement machine learning algorithms, and interpret results to make informed decisions in the real estate market.

Syllabus

Hands on with Python : Analysis of Bangalore House Price Data

Taught by

NPTEL-NOC IITM

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