Supervised Learning: Regression on Boston Housing Dataset

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The tasks are done in this video using python programming libraries such as
seaborn
pandas
numpy
matplotlib
sklearn

Methods:
Data Cleaning
Linear Regression
Ridge Regression
Lasso Regression
Plots

Tasks:

● Perform Supervised Machine Learning on Boston Housing Dataset
● Measure accuracy of different regression models to find best model to predict house prices
● Use Line Plots to find best points for accuracy

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  1. Jazi Designs
  2. Supervised Learning
  3. Regression
  4. Boston Housing Dataset
  5. Boston Housing
  6. seaborn
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