Learn to predict used smartphone prices using data visualization tools and data science concepts in this hands-on tutorial. Explore a case study on the Jupyter platform, covering problem statement introduction, case study understanding, and a detailed hands-on demonstration. Gain practical skills in data analysis and machine learning techniques applied to the smartphone market. Conclude with a summary of the output, providing valuable insights into pricing trends for used smartphones.
Overview
Syllabus
Course Introduction .
Problem Statement Introduction .
Case Study Understanding .
Hands-on Demo .
Summary of the Output .
Taught by
Great Learning
