Exploratory Data Analysis: Boston housing Dataset (EDA) using Python

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This is a short case study taken up by the publisher out of personal interest to explore Boston Housing data and analyze it by slicing and dicing it and present the findings with visualization. Although it uses a machine learning algorithm, however, the core objective remains focused in sharing insights with Visualization using Seaborn and Matplotlib. The underlying language used is Python and it involves extensive usage of Python libraries of Pandas and Numpy.
  1. Shobhit Kulshreshtha
  2. python
  3. pandas
  4. matplotlib
  5. seaborn
  6. plotly
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Комментарии
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This is a really great video. Never saw analysis in such detail.

harshinde
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Very well explained!! Generally we find how to do the analysis but the interpretation of analysis is difficult to find. You explained everything very precisely and beautifully. Thanks for making it interested. Thankyou

rajpreetcheema
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It's well done, can you please put the code source

bumbajoel
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Can you share this file, if possible?

puneetkansara