Cars challenge
Predict the price of a car. [ver. 1.0.0]
Log in to write a comment
[anonymized]
2019-06-05 16:05
submitted a solution:Cars challenge
[anonymized]
2019-06-05 15:58
submitted a solution:check results for cars challenge
[anonymized]
2019-06-01 16:02
submitted a solution:rand xgb first try
[anonymized]
2019-06-01 15:52
submitted a solution:rand forest regressor commit4
[anonymized]
2019-06-01 15:40
submitted a solution:rand forest regressor commit3
[anonymized]
2019-06-01 15:37
submitted a solution:rand forest regressor commit2
[anonymized]
2019-06-01 15:30
submitted a solution:rand forest regressor commit1
[anonymized]
2019-05-18 15:20
submitted a solution:Experiments
[anonymized]
2019-04-25 14:04
submitted a solution:random-forrest-regressor
[anonymized]
2019-04-21 15:48
submitted a solution:cars third solution
[anonymized]
2019-04-21 15:43
submitted a solution:cars second solution
[anonymized]
2019-04-21 10:15
submitted a solution:cars solution
Artur Nowakowski
2019-04-20 22:57
submitted a solution:UMZ challenge solution
Artur Nowakowski
2019-04-18 19:21
submitted a solution:UMZ 2019 challenge basic solution
Artur Nowakowski
2019-02-26 22:57
submitted a solution:first test submission
[anonymized]
2019-01-26 19:23
submitted a solution:solution3
[anonymized]
2019-01-26 17:37
submitted a solution:solution1
[anonymized]
2018-02-16 02:37
submitted a solution:linear-regression self-made
[anonymized]
2018-02-16 00:27
submitted a solution:linear-regression self-made
[anonymized]
2018-02-05 18:15
submitted a solution:neural network...
[anonymized]
2018-01-28 23:51
submitted a solution:UMZ-2017-09b
[anonymized]
2018-01-28 23:38
submitted a solution:UMZ-2017-09b
[anonymized]
2018-01-27 13:54
submitted a solution:Neural network for regression v2
[anonymized]
2018-01-27 13:17
submitted a solution:Neural network for regression v1
[anonymized]
2018-01-23 22:29
submitted a solution:siec neuronowa
[anonymized]
2018-01-09 15:21
submitted a solution:NeuralNetwork
[anonymized]
2017-12-20 18:18
submitted a solution:mileage year capacity nn
[anonymized]
2017-12-17 21:36
submitted a solution:regresja wielu zmiennych
[anonymized]
2017-12-17 21:06
submitted a solution:regresja wielu zmiennych
[anonymized]
2017-12-17 19:20
submitted a solution:proba, chyba nienajlepiej
testowe3
2017-12-17 18:35
submitted a solution:a
[anonymized]
2017-12-17 14:19
submitted a solution:Po merge - self made
[anonymized]
2017-12-17 14:06
submitted a solution:Merged
testowe3
2017-12-17 08:53
submitted a solution:a
testowe3
2017-12-17 08:35
submitted a solution:test commit
[anonymized]
2017-12-17 07:51
submitted a solution:Zadanie 004a z kodem programu
[anonymized]
2017-12-17 07:48
submitted a solution:usuniety kod poprzedniego zadania
[anonymized]
2017-12-17 00:09
submitted a solution:zadanie 004a
[anonymized]
2017-12-17 00:05
submitted a solution:usuniete rozwiazania poprzedniego zadania
[anonymized]
2017-12-16 20:28
submitted a solution:my brilliant solution
[anonymized]
2017-12-16 09:20
submitted a solution:gradient descent multiple variables
kubapok
2017-12-14 22:51
submitted a solution:mean price
[anonymized]
2017-12-10 19:24
submitted a solution:Zadanie 4: Regresja liniowa z wieloma zmiennymi
[anonymized]
2017-12-09 22:29
submitted a solution:próba poprzez github
[anonymized]
2017-12-09 17:09
submitted a solution:Gotowe rozwiazanie; koniec lini zamieniony na LF w dev
[anonymized]
2017-12-09 17:07
submitted a solution:Gotowe rozwiazanie; koniec lini zamieniony na LF
[anonymized]
2017-12-09 17:02
submitted a solution:Gotowe rozwiazanie
[anonymized]
2017-12-09 16:58
submitted a solution:geval output
[anonymized]
2017-12-09 16:34
submitted a solution:UMZ-2017-zaoczne-003
[anonymized]
2017-12-09 16:28
submitted a solution:dodano kod programu
[anonymized]
2017-12-09 12:31
submitted a solution:regresja liniowa auta
[anonymized]
2017-12-08 22:58
submitted a solution:'auta'
[anonymized]
2017-12-08 00:24
submitted a solution:usuniete znaki \r
[anonymized]
2017-12-06 15:28
submitted a solution:Zadanie 2: Regresja liniowa z jedna zmienna dla ceny samochodu
[anonymized]
2017-11-12 17:12
submitted a solution:all variables used
[anonymized]
2017-11-11 22:19
submitted a solution:my brilliant solution
[anonymized]
2017-11-10 11:48
submitted a solution:Linear Regression - self-made DW
[anonymized]
2017-11-09 18:57
submitted a solution:Multilinear regresion
[anonymized]
2017-11-09 17:49
submitted a solution:lin. regression (multiple variables)
[anonymized]
2017-11-05 17:00
submitted a solution:my brilliant solution
[anonymized]
2017-11-04 10:10
submitted a solution:linear-regression solution (one variable)
[anonymized]
2017-11-03 09:34
submitted a solution:stupid
[anonymized]
2017-11-03 09:30
submitted a solution:test
[anonymized]
2017-10-28 15:41
submitted a solution:LR-selfmade
[anonymized]
2017-10-22 21:08
submitted a solution:LR
[anonymized]
2017-10-16 19:01
submitted a solution:Trick with brands and standarization
[anonymized]
2017-10-16 18:56
submitted a solution:Standarize data & trick with brands
[anonymized]
2017-10-16 18:53
submitted a solution:Standarize data & set one brand to 1
[anonymized]
2017-10-16 18:50
submitted a solution:Standarize data
[anonymized]
2017-10-16 16:27
submitted a solution:Linear regression with normalization
[anonymized]
2017-10-16 16:25
submitted a solution:Linear regression
[anonymized]
2017-10-16 16:11
submitted a solution:mój pierwszy komit
[anonymized]
2017-10-16 16:09
submitted a solution:Normalized
[anonymized]
2017-10-16 16:02
submitted a solution:Normalized
[anonymized]
2017-10-16 15:55
submitted a solution:Added dummies
[anonymized]
2017-10-16 15:52
submitted a solution:Simple regression
[anonymized]
2017-10-09 06:54
submitted a solution:Naive linear regression
[anonymized]
2017-10-09 06:52
submitted a solution:Baseline (always 0.0)