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| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
@@ -37,7 +37,7 @@ What is it? | Blog Post/IPython Notebook | Youtube Video | |||
| 37 | 37 | --- | --- | --- | |
| 38 | 38 | Linear Regression | [Linear Regression Python (sklearn, numpy, pandas)](https://medium.com/@GalarnykMichael/linear-regression-using-python-b29174c3797a#.vczf85s0s) | [Linear Regression](https://www.youtube.com/watch?v=dSYJVbj4Eew&t=2s) | |
| 39 | 39 | Logistic Regression | [Digits](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/Logistic_Regression/LogisticRegression_toy_digits.ipynb) / [MNIST](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/Logistic_Regression/LogisticRegression_MNIST.ipynb) | [Logistic Regression using Python (Sklearn, NumPy, Handwriting Recognition, Matplotlib)](https://www.youtube.com/watch?v=71iXeuKFcQM) | |
| 40 | - Principal Component Analysis | [IRIS](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/PCA/PCA_Iris_Dataset.ipynb) / [MNIST](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/PCA/PCA_MNIST_Logistic_Regression.ipynb) | Coming soon | ||
| 40 | + Principal Component Analysis | [Data Visualization](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/PCA/PCA_Data_Visualization_Iris_Dataset_Blog.ipynb) / [Speed-up Machine Learning Algorithms](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/PCA/PCA_to_Speed-up_Machine_Learning_Algorithms.ipynb) | Coming soon | ||
| 41 | 41 | Descision Trees and Random Forest | In Progress | In Progress | |
| 42 | 42 | ||
| 43 | 43 | ## Spark (Python) | |
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