Merge pull request #19 from explore-ml-iemk/notebook

All notebook from 2020 session

Author: Dsantra92

_modules/week-01.md

@@ -8,5 +8,6 @@ Feb 20, 2020
 : 
 
 : **Section 1.2**{: .label .label-purple }[Revesion of Python basics]()
-: [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Python%20Tutorial/Python101_Intro_to_Python.ipynb)
-: [Slides](#)
+: [Notebook-1](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Python%20Tutorial/Python101_Intro_to_Python.ipynb)
+: [Notebook-2](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Python%20Tutorial/Python101_String_and_Regex.ipynb)
+: [Slides](https://github.com/explore-ml-iemk/Tutorials-Repo/blob/master/Python%20Tutorial/Introduction%20to%20Python.pdf)

_modules/week-03.md

@@ -4,11 +4,13 @@ title: Linear and Logistic Regression
 
 Mar 01, 2020
 : **Section 3.1.1**{: .label .label-purple }[Linear Regression]()
-: [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Linear%20Regression/Linear%20Regression.ipynb)
+: [Notebook-1](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Linear%20Regression/Linear%20Regression.ipynb)
+: [Notebook-2](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Linear%20Regression/Salary%20Predictor.ipynb)
 : [Slides](#)
 : 
 
 : **Section 3.1.2**{: .label .label-purple }[Logistic Regression]()
-: [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Logistic%20Regression/Sayantan_logistic_reg.ipynb)
+: [Notebook-1](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Logistic%20Regression/Sayantan_logistic_reg.ipynb)
+: [Notebook-2](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Logistic%20Regression/Shatadru_.ipynb)
 : [Slides](#)
 :

_modules/week-04.md

@@ -5,22 +5,29 @@ title: SVM, KNN, Decision Trees & Random Forest
 Mar 07, 2020
 : **Section 4.1.1**{: .label .label-purple }[K nearest Neighbour & Distances](#)
 : [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day4/KNN.ipynb)
-: [Slides](#)
+: [Slides](https://github.com/explore-ml-iemk/Tutorials-Repo/blob/master/Day4/KNN.pdf)
 : 
 
-: **Section 4.1.2**{: .label .label-purple }[Probability Theory, Decision Tree, Random Forest](#)
-: [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/Random_Forest.ipynb)
+: **Section 4.1.2**{: .label .label-purple }[Naive Bayes](#)
+: [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day4/Naive_Bayes.ipynb)
 : [Slides](#)
+
+: **Section 4.1.3**{: .label .label-purple }[Probability Theory, Decision Tree, Random Forest](#)
+: [Notebook-1](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/Decision_Tree.ipynb)
+: [Notebook-2](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/Random_Forest.ipynb)
+: [Notebook-3](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/RandomForest.ipynb)
+: [Slides](https://github.com/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/Decision_Tree_SVM_KNN.pdf)
 : 
 
 Mar 08, 2020
 
 : **Section 4.2.1**{: .label .label-purple }[Support Vector Machines(SVMs)](#)
 : [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/SVM.ipynb)
-: [Slides](#)
+: [Slides](https://github.com/explore-ml-iemk/Tutorials-Repo/blob/master/Day3/Decision_Tree_SVM_KNN.pdf)
 : 
 
 : **Section 4.2.2**{: .label .label-purple }[XGBoost, CATBoost](#)
 : [Notebook](https://colab.research.google.com/github/explore-ml-iemk/Tutorials-Repo/blob/master/Day4/Boosting.ipynb)
 : [Slides](#)
 : 
+