Update README.md

Author: RohitDhankar

Diff for: README.md

@@ -49,9 +49,20 @@ Questions and Answers.
 [ Duration : @60 Minutes ] 
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-1. Logistic Regression with Python. 
+1. Logistic Regression with Python. - ``` from sklearn.linear_model import LogisticRegression ```
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+2. Gradient Boosting Classifier - ```    ```
+Using sample code from  [Own - Titanic Dataset - Kaggle attempt](https://github.com/RohitDhankar/KAGGLE_Titanic_initial/blob/master/Titanic_2_OwnCode.ipynb). 
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+3. Random Forest Classifer - ```     ```
+Using sample code from  [Own - Titanic Dataset - Kaggle attempt](https://github.com/RohitDhankar/KAGGLE_Titanic_initial/blob/master/Titanic_2_OwnCode.ipynb). 
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 Related case study and examples . 
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+1. Using the Titanic - [Kaggle Data Set](https://www.kaggle.com/c/titanic) -will build this Classification problem with using sample code from  [Own Kaggle attempt](https://github.com/RohitDhankar/KAGGLE_Titanic_initial/blob/master/Titanic_2_OwnCode.ipynb). 
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 Questions and Answers. 
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