Predicting-Football-Match-Outcome-using-Machine-Learning icon indicating copy to clipboard operation
Predicting-Football-Match-Outcome-using-Machine-Learning copied to clipboard

Football Match prediction using machine learning algorithms in jupyter notebook

Results 5 Predicting-Football-Match-Outcome-using-Machine-Learning issues
Sort by recently updated
recently updated
newest added

AT In [38]: #Extract necessary features from the data file feature_table = df.iloc[:,:23] print(table) #Full Time Result(FTR), Home Shots on Target(HST), Away Shots on Target(AST), Home Corners(HC), Away Corners(AC) feature_table...

hii broo..i cannot get proper table.team column. the column shows all true values instead of each team name what should i do?? Plzz help me. i attached screenshot below. ![Screenshot...

I applied the random forest algorithm on merged_dataset.csv. Out of 6080 rows, I used 80% rows for training and the remaining 20% for testing. I found that the trained model...

Hi, I was trying to run your code on my machine with Phyton 3.7 and at step Multinomial Naive Bayes¶ i get the following error ValueError Traceback (most recent call...

Who can explain prediction codes and normalization?