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Fundamentals of Machine Learning Course at DSR

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.gitignore
.gitignore
 
 
1. Linear Regression.ipynb
1. Linear Regression.ipynb
 
 
10. GradientBoostedTrees.ipynb
10. GradientBoostedTrees.ipynb
 
 
11. Logistic Regression.ipynb
11. Logistic Regression.ipynb
 
 
12. Evaluation Metrics for Classification.ipynb
12. Evaluation Metrics for Classification.ipynb
 
 
13. Support Vector Machine (SVM).ipynb
13. Support Vector Machine (SVM).ipynb
 
 
14. Dimensionality.ipynb
14. Dimensionality.ipynb
 
 
15. Eigenvectors and Eigenvalues.ipynb
15. Eigenvectors and Eigenvalues.ipynb
 
 
16. Principal Component Analysis (PCA).ipynb
16. Principal Component Analysis (PCA).ipynb
 
 
17. K-Nearest Neighbors (KNN).ipynb
17. K-Nearest Neighbors (KNN).ipynb
 
 
18. Clustering - KMeans.ipynb
18. Clustering - KMeans.ipynb
 
 
19. Neural Networks - Activation Functions.ipynb
19. Neural Networks - Activation Functions.ipynb
 
 
2. Bias Variance Trade-Off.ipynb
2. Bias Variance Trade-Off.ipynb
 
 
3. Norms and Distances.ipynb
3. Norms and Distances.ipynb
 
 
4. Regularized Regression.ipynb
4. Regularized Regression.ipynb
 
 
5. Scaling and Outliers.ipynb
5. Scaling and Outliers.ipynb
 
 
6. Gradient Descent.ipynb
6. Gradient Descent.ipynb
 
 
7. Homogeneity Metrics.ipynb
7. Homogeneity Metrics.ipynb
 
 
8. Decision Trees.ipynb
8. Decision Trees.ipynb
 
 
9. RandomForests.ipynb
9. RandomForests.ipynb
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
bias-variance2.png
bias-variance2.png
 
 
bias_variance.png
bias_variance.png
 
 
bias_vs_variance_error.png
bias_vs_variance_error.png
 
 
confusion_matrix.png
confusion_matrix.png
 
 
custom.css
custom.css
 
 
environment.yml
environment.yml
 
 
train-validate-test.png
train-validate-test.png
 
 

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Fundamentals of Machine Learning Course at DSR

You can use Binder to open the notebooks on an executable environment - just click on the badge: Binder

After it starts, it will open a familiar Jupyter notebook interface! Just run all cells, wait for the interactive plots to load and you're good to go!

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