Question: 1) Students can perform 2 algorithms - linear regression (single or Multiple), a Decision tree for the following data in python (Jupyter notebook). 2) Explain

1) Students can perform 2 algorithms  - linear regression (single or Multiple), a Decision tree for the following data in python (Jupyter notebook).
2) Explain the whole process by writing what you have done in the whole assessment.

3) Students are required to perform at least 4 'groupby' functions based on Polars library.
DATA SET
 

namemfrtypecaloriesproteinfatsodiumfibercarbosugarspotassvitaminsshelfweightcupsrating
100% BranNC7041130105628025310.3368.40297
100% Natural BranQC1203515288135031133.98368
All-BranKC704126097532025310.3359.42551
All-Bran with Extra FiberKC5040140148033025310.593.70491
Almond DelightRC110222001148-125310.7534.38484
Apple Cinnamon CheeriosGC110221801.510.5107025110.7529.50954
Apple JacksKC1102012511114302521133.17409
Basic 4GC1303221021881002531.330.7537.03856
Bran ChexRC9021200415612525110.6749.12025
Bran FlakesPC9030210513519025310.6753.31381
Cap'n'CrunchQC12012220012123525210.7518.04285
CheeriosGC11062290217110525111.2550.765
Cinnamon Toast CrunchGC1201321001394525210.7519.82357
ClustersGC11032140213710525310.540.40021
Cocoa PuffsGC1101118001213552521122.73645
Corn ChexRC110202800223252511141.44502
Corn FlakesKC100202901212352511145.86332
Corn PopsKC110109011312202521135.78279
Count ChoculaGC1101118001213652521122.39651
Cracklin' Oat BranKC11033140410716025310.540.44877
Cream of Wheat (Quick)NH10030801210-1021164.53382
CrispixKC110202201213302531146.89564
Crispy Wheat & RaisinsGC100211402111012025310.7536.1762
Double ChexRC1002019011858025310.7544.33086
Froot LoopsKC1102112511113302521132.20758
Frosted FlakesKC11010200114112525110.7531.43597
Frosted Mini-WheatsKC100300314710025210.858.34514
Fruit & Fibre Dates; Walnuts; and OatsPC12032160512102002531.250.6740.91705
















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