PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Machine learning with Complete Python (Basic to Advanced)\19. k-nearest neighbors algorithm (k-NN)

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8. implementing kNN algorithm.srt16 KB12/12/2021 3:34 AM
8. implementing kNN algorithm.mp492,962 KB12/12/2021 3:34 AM
7. Dealing with missing values and strings.srt11 KB12/12/2021 3:34 AM
7. Dealing with missing values and strings.mp444,526 KB12/12/2021 3:34 AM
6. introduction to sklearn.srt14 KB12/12/2021 3:34 AM
6. introduction to sklearn.mp455,211 KB12/12/2021 3:34 AM
5. issues with distance based algorithm.srt4 KB12/12/2021 3:34 AM
5. issues with distance based algorithm.mp46,464 KB12/12/2021 3:34 AM
4. calculate distance.srt11 KB12/12/2021 3:34 AM
4. calculate distance.mp425,403 KB12/12/2021 3:34 AM
3. determining right value of k.srt3 KB12/12/2021 3:34 AM
3. determining right value of k.mp43,973 KB12/12/2021 3:34 AM
2. building a kNN model.srt5 KB12/12/2021 3:34 AM
2. building a kNN model.mp410,365 KB12/12/2021 3:34 AM
1. kNN Introduction.srt4 KB12/12/2021 3:34 AM
1. kNN Introduction.mp410,118 KB12/12/2021 3:34 AM