| 01. |
FIND-S ALGORITHM |
LAB1.pytrainingdata.csv |
LAB 1.ipynb |
| 02. |
CANDIDATE-ELIMINATION ALGORITHM |
LAB2.pytrainingdata.csv |
LAB 2.ipynb |
| 03. |
ID3 ALGORITHM |
LAB3.pytennisdata.csv |
LAB 3.ipynb |
| 04. |
BACKPROPAGATION ALGORITHM |
LAB4.py |
LAB 4.ipynb |
| 05. |
NAÏVE BAYESIAN CLASSIFIER |
LAB5.pytennisdata.csv |
LAB 5.ipynb |
| 06. |
NAÏVE BAYESIAN CLASSIFIER (USING API) |
LAB6.pydocument.csv |
LAB 6.ipynb |
| 07. |
A BAYESIAN NETWORK |
LAB7.pyheartdisease.csv |
LAB 7.ipynb |
| 08. |
EM ALGORITHM & K-MEANS ALGORITHM |
LAB8.py |
LAB 8.ipynb |
| 09. |
K-NEAREST NEIGHBOUR ALGORITHM |
LAB9.py |
LAB 9.ipynb |
| 10. |
LOCALLY WEIGHTED REGRESSION ALGORITHM |
LAB10.py |
LAB 10.ipynb |