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All python code needs to be executed to show the results. Describe two real-life applications in which classification might be useful. Describe two real-life applications

All python code needs to be executed to show the results.

  1. Describe two real-life applications in which classification might be useful.
  2. Describe two real-life applications in which regression might be useful.
  3. Describe two real-life applications in which unsupervised learning might be useful
  4. Build a linear model (height = m * year + b) to describe the trend of height increase for United Kingdom between 1900 and 1980. Compute the mean square error of your model, and display the model line together with the data points.

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Entity Code Year Unnamed: 3 172.2 173.5 172.2 171.1 170.6 171.1 169.5 169.1 1194 United States USA 1820 1195 United States USA 1830 1196 United States USA 1840 1197 United States USA 1850 1198 United States USA 1860 1199 United States USA 1870 1200 United States USA 1880 1201 United States USA 1890 1202 United States USA 1900 1203 United States USA 1910 1204 United States USA 1920 1205 United States USA 1930 1206 United States USA 1940 1207 United States USA 1950 1208 United States USA 1960 1209 United States USA 1970 1210 United States USA 1980 170.0 172.1 173.1 173.4 176.1 177.1 177.3 178.3 179.0 Entity Code Year Unnamed: 3 172.2 173.5 172.2 171.1 170.6 171.1 169.5 169.1 1194 United States USA 1820 1195 United States USA 1830 1196 United States USA 1840 1197 United States USA 1850 1198 United States USA 1860 1199 United States USA 1870 1200 United States USA 1880 1201 United States USA 1890 1202 United States USA 1900 1203 United States USA 1910 1204 United States USA 1920 1205 United States USA 1930 1206 United States USA 1940 1207 United States USA 1950 1208 United States USA 1960 1209 United States USA 1970 1210 United States USA 1980 170.0 172.1 173.1 173.4 176.1 177.1 177.3 178.3 179.0

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