Hands-on Python: Analysis and Prediction of Bangalore House Price Data
Offered By: NPTEL-NOC IITM via YouTube
Course Description
Overview
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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