Update README.md

Author: pramodini18

README.md

@@ -4,10 +4,10 @@ A classic problem in the field of pattern recognition is that of handwritten dig
 
 The goal is to develop a model that can correctly identify the digit (between 0-9) written in an image. 
 
-Objective
+Objective:
 You are required to develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features. Thus, this is a 10-class classification problem. 
 
-Data Description
+Data Description:
 For this problem, we use the MNIST data which is a large database of handwritten digits. The 'pixel values' of each digit (image) comprise the features, and the actual number between 0-9 is the label. 
 
 Since each image is of 28 x 28 pixels, and each pixel forms a feature, there are 784 features. MNIST digit recognition is a well-studied problem in the ML community, and people have trained numerous models (Neural Networks, SVMs, boosted trees etc.) achieving error rates as low as 0.23% (i.e. accuracy = 99.77%, with a convolutional neural network).