Update README.md

Author: devshree07

README.md

@@ -1,2 +1,16 @@
-# Algorithms-for-Big-Data
-Algorithms for Big Data.
+# Algorithms for Big Data
+This repository consists of implementations of various algorithms used for processing big data. <br>
+The algorithms used are: <br>
+1. Simple and Multiple Linear Regression using Gradient Descent (batch data)
+2. Simple and Multiple Linear Regression using Gradient Descent (stream data)
+3. Simple and Multiple Linear Regression using Normal Equation Methods (batch data)
+4. Incremental Mathematical Stream Regression and Approximate Stream Regression
+5. Collaborative Filtering (Stochastic Gradient Descent for Matrix Factorization)
+6. Collaborative Filtering (Distributed Stochastic Gradient Descent for Matrix
+Factorization)
+7. Collaborative Filtering (Streaming Distributed Stochastic Gradient Descent for Matrix
+Factorization)
+8. k-means and k-medoids (batch data)
+9. Stream Algorithm
+10. Clustream Algorithm
+11. ID3 and CART (batch data)