Update machine-learning.md

Added "Survival Analysis in R".
hiranp · May 5, 2020 · 6f1520e · 6f1520e
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 - [Concrete Compressive Strength Prediction using Machine Learning](https://www.linkedin.com/posts/towards-data-science_concrete-compressive-strength-prediction-activity-6644946997524725760-bbxh)
 - [Learning from unlabelled data](https://www.linkedin.com/posts/montrealai_deeplearning-machinelearning-semisupervisedlearning-activity-6641340729899700224-PP8Q)
 - [Its becoming clearer than ever before that there are huge advantages of training very large models.](https://www.linkedin.com/posts/adamgrzywaczewski_its-becoming-clearer-than-ever-before-that-activity-6645674351192522752-vxsF)
+- [Survival Analysis in R](https://www.geeksforgeeks.org/survival-analysis-in-r/)
 - [How to Reduce Overfitting Using Weight Constraints in Keras](https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-neural-networks-with-weight-constraints-in-keras/)
   - Algorithms
     - See [Machine Learning algorithms](./machine-learning-algorithms.md)
   - See [Machine Learning](../courses.md#machine-learning) in [Courses](../courses.md#courses)
   - See [ML on Code/Programm/Source Code](../ML-on-code-programming-source-code.md)
   - See [Cloud/DevOps/Infra > Performance](../cloud-devops-infra/README.md#performance) - to find various ML performance benchmarking suites
-  - See [Post model-creation analysis, ML interpretation/explainability](../data/README.md#post-model-creation-analysis-ml-interpretationexplainability)
+  - See [Post model-creation analysis, ML interpretation/explainability](../data/README.md#post-model-creation-analysis-ml-interpretationexplainability)  
 
 ## Metrics
   - [Understanding Maximum Likelihood Estimation  (MLE)](https://www.linkedin.com/posts/towards-data-science_understanding-maximum-likelihood-estimation-activity-6642383355608473600-1Uvq)