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ML LAB
Abhishek Mali edited this page Mar 19, 2019
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| EXP NO | EXPERIMENT NAME | EXPERIMENT SOLUTION | PYTHON NOOTEBOOK WITH OUTPUT |
|---|---|---|---|
| 01. | FIND-S ALGORITHM |
LAB1.py trainingdata.csv |
LAB 1.ipynb |
| 02. | CANDIDATE-ELIMINATION ALGORITHM |
LAB2.py trainingdata.csv |
LAB 2.ipynb |
| 03. | ID3 ALGORITHM |
LAB3.py tennisdata.csv |
LAB 3.ipynb |
| 04. | BACKPROPAGATION ALGORITHM | LAB4.py | LAB 4.ipynb |
| 05. | NAÏVE BAYESIAN CLASSIFIER |
LAB5.py tennisdata.csv |
LAB 5.ipynb |
| 06. | NAÏVE BAYESIAN CLASSIFIER (USING API) |
LAB6.py document.csv |
LAB 6.ipynb |
| 07. | A BAYESIAN NETWORK |
LAB7.py heartdisease.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 |