WIP
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1053
.ipynb_checkpoints/05_Regresja_wielomianowa-checkpoint.ipynb
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1053
.ipynb_checkpoints/05_Regresja_wielomianowa-checkpoint.ipynb
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archive(1).zip
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archive(1).zip
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archive(1)/Student_Marks.csv
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archive(1)/Student_Marks.csv
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number_courses,time_study,Marks
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3,4.508,19.202
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4,0.096,7.734
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4,3.133,13.811
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6,7.909,53.018
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8,7.811,55.299
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6,3.211,17.822
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3,6.063,29.889
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5,3.413,17.264
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4,4.410,20.348
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3,6.173,30.862
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3,7.353,42.036
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7,0.423,12.132
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7,4.218,24.318
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3,4.274,17.672
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3,2.908,11.397
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4,4.260,19.466
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5,5.719,30.548
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8,6.080,38.490
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6,7.711,50.986
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8,3.977,25.133
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4,4.733,22.073
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6,6.126,35.939
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5,2.051,12.209
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7,4.875,28.043
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4,3.635,16.517
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3,1.407,6.623
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7,0.508,12.647
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8,4.378,26.532
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5,0.156,9.333
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4,1.299,8.837
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8,3.864,24.172
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3,1.923,8.100
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8,0.932,15.038
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6,6.594,39.965
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3,4.083,17.171
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3,7.543,43.978
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4,2.966,13.119
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6,7.283,46.453
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7,6.533,41.358
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6,7.775,51.142
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4,0.140,7.336
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6,2.754,15.725
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6,3.591,19.771
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5,1.557,10.429
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4,1.954,9.742
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3,2.061,8.924
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4,3.797,16.703
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4,4.779,22.701
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3,5.635,26.882
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5,3.913,19.106
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6,6.703,40.602
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6,4.130,22.184
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4,0.771,7.892
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7,6.049,36.653
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8,7.591,53.158
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7,2.913,18.238
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8,7.641,53.359
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7,7.649,51.583
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3,6.198,31.236
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8,7.468,51.343
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6,0.376,10.522
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4,2.438,10.844
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6,3.606,19.590
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3,4.869,21.379
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7,0.130,12.591
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6,2.142,13.562
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4,5.473,27.569
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3,0.550,6.185
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4,1.395,8.920
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6,3.948,21.400
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4,3.736,16.606
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5,2.518,13.416
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3,4.633,20.398
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3,1.629,7.014
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4,6.954,39.952
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3,0.803,6.217
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5,6.379,36.746
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8,5.985,38.278
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7,7.451,49.544
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3,0.805,6.349
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7,7.957,54.321
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8,2.262,17.705
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4,7.410,44.099
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5,3.197,16.106
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8,1.982,16.461
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8,6.201,39.957
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7,4.067,23.149
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3,1.033,6.053
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5,1.803,11.253
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7,6.376,40.024
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7,4.182,24.394
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8,2.730,19.564
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4,5.027,23.916
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8,6.471,42.426
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8,3.919,24.451
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6,3.561,19.128
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3,0.301,5.609
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4,7.163,41.444
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7,0.309,12.027
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3,6.335,32.357
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archive.zip
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archive.zip
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insurance.csv
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1339
insurance.csv
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polynomial-regression.csv
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16
polynomial-regression.csv
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araba_fiyat,araba_max_hiz
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60,180
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70,180
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80,200
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100,200
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120,200
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150,220
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200,240
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250,240
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300,300
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400,350
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500,350
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750,360
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1000,365
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2000,365
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3000,365
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salary.zip
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salary.zip
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