My coursework for the class Intro to Machine Learning at Udacity (UD 120). Covers supervised learning algorithms, evaluating and validating trained models. Contains spoilers.
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2 周之前 | |
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.github | 3 年之前 | |
choose_your_own | 4 周之前 | |
datasets_questions | 3 周之前 | |
decision_tree | 4 周之前 | |
evaluation | 3 年之前 | |
feature_selection | 2 周之前 | |
final_project | 1 年之前 | |
k_means | 3 周之前 | |
naive_bayes | 4 周之前 | |
outliers | 3 周之前 | |
pca | 2 周之前 | |
regression | 3 周之前 | |
svm | 4 周之前 | |
text_learning | 2 周之前 | |
tools | 3 周之前 | |
validation | 2 周之前 | |
.gitignore | 2 年之前 | |
CHANGELOG.md | 3 年之前 | |
CODEOWNERS | 3 年之前 | |
README.md | 1 年之前 | |
requirements.txt | 3 年之前 |
Starter project code for students taking Udacity ud120
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.
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.