My coursework for the class Intro to Machine Learning at Udacity (UD 120). Covers supervised learning algorithms, evaluating and validating trained models. Contains spoilers.
scuti
085b33ed5a
Fixed tester.py for final project.
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3 mēneši atpakaļ | |
|---|---|---|
| .github | 3 gadi atpakaļ | |
| choose_your_own | 3 gadi atpakaļ | |
| datasets_questions | 4 gadi atpakaļ | |
| decision_tree | 9 gadi atpakaļ | |
| evaluation | 3 gadi atpakaļ | |
| feature_selection | 4 gadi atpakaļ | |
| final_project | 3 mēneši atpakaļ | |
| k_means | 3 gadi atpakaļ | |
| naive_bayes | 4 gadi atpakaļ | |
| outliers | 1 gadu atpakaļ | |
| pca | 3 gadi atpakaļ | |
| regression | 3 gadi atpakaļ | |
| svm | 4 gadi atpakaļ | |
| text_learning | 3 gadi atpakaļ | |
| tools | 4 gadi atpakaļ | |
| validation | 3 gadi atpakaļ | |
| .gitignore | 2 gadi atpakaļ | |
| CHANGELOG.md | 4 gadi atpakaļ | |
| CODEOWNERS | 3 gadi atpakaļ | |
| README.md | 1 gadu atpakaļ | |
| requirements.txt | 4 gadi atpakaļ |
README.md
ud120-projects
Starter project code for students taking Udacity ud120
Setup
- Create a virtual environment for Python 3.9 or higher.
- $ pip install -r requirements.txt
Contribution Note
The code in this repo has been upgraded from Python 2 to Python 3 by Siddharth Kekre in this PR. Refer to the Change Log for more details.
Path Note
According to your ud120-projects location you may have to change the path for every sys.path.append(os.path.abspath(("../tools/"))) to sys.path.append(os.path.abspath(("./tools/"))) (Basically '../' to './' for all of the files path) or vice-versa in your .py files.