Update README.md

docs/README.md

@@ -44,14 +44,14 @@ For the class project, students will work in teams of 1-3 to analyze an Earth Sc
 | 09/09 | [Introduction && Python 101] | [slides](https://ai4eps.github.io/EPS88_PyEarth/lectures/00_introduction_python101), [notebook](https://ai4eps.github.io/EPS88_PyEarth/exercises/00_introduction_python101) |
 | 09/16 | [Numpy & Pandas] | [slides](https://ai4eps.github.io/EPS88_PyEarth/lectures/01_numpy_pandas), [notebook](https://ai4eps.github.io/EPS88_PyEarth/exercises/01_numpy_pandas) |
 | 09/23 | [Matplotlib & Cartopy & PyGMT] |[slides](https://ai4eps.github.io/EPS88_PyEarth/lectures/02_matplotlib_cartopy), [notebook](https://ai4eps.github.io/EPS88_PyEarth/exercises/02_matplotlib_cartopy) |
-| 09/30 | [SkLearn: Supervised Learning: Regression] |  |
-| 10/07 | [Sklearn: Supervised Learning: Classification] |  |
-| 10/14 | [SkLearn: Model selection: Bias v.s. Variance trade-off] |  |
-| 10/21 | [Sklearn: Unsupervised Learning: Cluster & Dimensionality reduction] |  |
-| 10/28 | [Sklearn: Bayes optimization, Uncertainty, MCMC] |  |
-| 11/04 | [PyTorch: Neural Networks] |  |
+| 09/30 | [SkLearn: Supervised Learning: Regression 1] |  |
+| 10/07 | [Sklearn: Supervised Learning: Regression 2] |  |
+| 10/14 | [Sklearn: Supervised Learning: Classification 1] |  |
+| 10/21 | [Sklearn: Supervised Learning: Classification 2] |  |
+| 10/28 | [Sklearn: Unsupervised Learning: Clustering] |  |
+| 11/04 | [Probabilites] |  |
 | 11/11 | Veterans Day |  |
-| 11/18 | [PyTorch: Training & Optimization] |  |
-| 11/25 | [PyTorch: Applications] |  |
+| 11/18 | [PyTorch: Neural Networks 1] |  |
+| 11/25 | [PyTorch: Neural Networks 2] |  |
 | 12/02 | [Project] |  |
 | 12/09 | [Project] |  |