Update README.md

Author: bansalkanav

README.md

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  1. [Data Preparation and Modelling with SKLearn](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/01.%20Data%20Preparation%20and%20Modelling%20with%20sklearn)
  2. [Working with Text Data](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/02.%20Working%20with%20Text%20Data)
  3. [Working with Image Data](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/03.%20Working%20with%20Image%20Data)
- 4. [K - Nearest Neighbours](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/04.%20K%20-%20NN)
- 5. [Linear Regression](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/05.%20Linear%20Regression)
- 6. [Logistic Regression](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/06.%20Logistic%20Regression)
- 7. [Gradient Descent](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/07.%20Gradient%20Descent)
- 8. [Decision Trees](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/08.%20Decision%20Trees)
- 9. [Support Vector Machines](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/09.%20Support%20Vector%20Machines)
- 10. [Model Productionisation](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/10.%20Model%20Productionisation)
- 11. [Models with Feature Engineering](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/11.%20ML_Models%20with%20Feature%20Engineering)
- 12. [Hyperparameter Tuning](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/12.%20Hyperparameter%20Tuning)
- 13. [Ensembles](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/13.%20Ensembles)
- 14. [Clustering](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/14.%20Clustering)
- 15. [Principal component Analysis](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/15.%20PCA)
+ 4. [Supervised ML Algorithms](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/04.%20Supervised%20ML%20Algorithms)
+ - [K - Nearest Neighbours](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/04.%20K%20-%20NN)
+ - [Linear Regression](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/05.%20Linear%20Regression)
+ - [Logistic Regression](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/06.%20Logistic%20Regression)
+ - [Gradient Descent](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/07.%20Gradient%20Descent
+ - [Decision Trees](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/08.%20Decision%20Trees)
+ - [Support Vector Machines](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/09.%20Support%20Vector%20Machines)
+ - [Models with Feature Engineering](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/11.%20ML_Models%20with%20Feature%20Engineering)
+ - [Hyperparameter Tuning](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/12.%20Hyperparameter%20Tuning)
+ - [Ensembles](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/13.%20Ensembles)
+ 5. [Model Productionisation](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/10.%20Model%20Productionisation)
+ 6. [Unsupervised ML Algorithms](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/06.%20Unsupervised%20ML%20Algorithms)
+ - [Clustering](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/14.%20Clustering)
+ - [Principal component Analysis](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%204%20-%20Machine%20Learning/15.%20PCA)
 
 ## Module 5 - Case Studies
  - [Car Price Prediction (Regression)](https://github.com/bansalkanav/Machine_Learning_and_Deep_Learning/tree/master/Module%205%20-%20Case%20Studies/1.%20Car%20Price%20Prediction)