dataquestio project-walkthroughs issues

dataquestio / project-walkthroughs

Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

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issues

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Predict Football Matches

#25 HyakuzaO opened 3 months ago
1
Projects

#24 kilos11 opened 5 months ago
0
Urgent Help needed

#23 alibinshuja opened 7 months ago
1
IndexError: list index out of range

#22 esanchezmex opened 7 months ago
3
Error on setting monthly_avg & day_of_year_avg

#21 imrannazirbhat opened 10 months ago
0
Rolling average...closed='left' code gives "closed only implemented for datetimelike and offset based windows"

#20 aolaloko opened 11 months ago
0
Create vk

#19 Vipintomar0 opened 11 months ago
0
dag is not visible in the web UI

#18 taureanjoe opened 1 year ago
0
Update README.md

#17 bek6430 closed 1 year ago
0
rolling_averages

#16 johanbech opened 1 year ago
0
possible to do with pycharm instead of jupyter ?

#15 kwam777 opened 1 year ago
1
error

#14 MARYAMAMS opened 1 year ago
0
Unable to see page numbers in results page

#13 mcubu opened 1 year ago
0
Fix when shooting column FK, is not found

#12 marcocasillas91 opened 1 year ago
0
Accuracy

#11 J3r3myPerera opened 1 year ago
1
Task exception error

#10 Jamm7890 opened 1 year ago
0
Obtaining datasets using gdown in colab gives access denied error

#9 mrgransky opened 1 year ago
0
Removed a minor bug

#8 ujjwall-R closed 1 year ago
0
The model.predict() function parameter is malformed.

#7 yoyofreeman opened 1 year ago
0
Nba games

#6 VikParuchuri closed 1 year ago
0
Vik teams

#5 VikParuchuri closed 1 year ago
0
Getting error ValueError: Input X contains NaN. SimpleImputer does not accept missing values encoded as NaN natively. For supervised learning, you might want to consider sklearn.ensemble.HistGradientBoostingClassifier and Regressor which accept missing values encoded as NaNs natively. Alternatively, it is possible to preprocess the data, for instance by using an imputer transformer in a pipeline or drop samples with missing values. See https://scikit-learn.org/stable/modules/impute.html You can find a list of all estimators that handle NaN values at the following page: https://scikit-learn.org/stable/modules/impute.html#estimators-that-handle-nan-values

#4 GlamarSK opened 1 year ago
3
IndexError: list index out of range

#3 celestinoxp opened 1 year ago
5
Name Error

#2 Mahmoudat closed 1 year ago
1
Football Matches Draft

#1 mullinsmmm closed 2 years ago
0