Update README.md

Author: StatPal

README.md

@@ -1,19 +1,15 @@
 # Python Workshop
 
 ### Introduction
-This workshop is intended for statistics students who intend to learn 'data science using python'. 
-Often, statistics students have the basic theoretical knowledge of the classification, regression and related machine learning tools, but lack application using python, often useful in many practical scenario. 
-We aim to bridge this gap. 
+This workshop is intended for statistics students who intend to learn 'data science using Python.' 
+Often, statistics students have the basic theoretical knowledge of classification, regression and related machine learning tools but lack application using Python, which is often useful in many practical scenarios. 
+We aim to bridge this gap with some real-world examples.
 
 ### Schedule
 We want to cover 
  - Basic data manipulation using pandas
- - Basic linear alegbra using numpy
- - Application of ML algorithms to a dataset using scikit
- - Deep Learning methods with CNN, pretrained model etc (using pytorch or keras)
- - Calling python function using R
- - Using virtual environment in pronto (with GPU). 
-
-
-
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+ - Basic linear algebra using Numpy
+ - Application of more classical ML algorithms to a dataset using Scikit library.
+ - Deep Learning methods with CNN, pre-trained model etc. (using PyTorch or Keras)
+ - Calling Python function using R (not covered in the original workshop)
+ - Using virtual environment (using the virtual environment in pronto/HPC is to be added).