Class 1: Installing Python and Gedit (only for Windows users), Working at the Ubuntu / Windows command line – basic commands and running programs; Variables, Strings and Integers in Python
Class 2: Conditionals and Operators
Class 3: Lists, Dicts, Tuples and For loop in Python
Class 4: Functions in Python
Class 5: The Collections and operator libraries
Class 6: File Handling, Control Statements and Iterators
Class 7: Regular Expressions
Class 8: Working with Web Pages: Downloading, cleaning and preparing the data
Class 9: Advance Data Structures: Lists Comprehensions and lambda functions
Class 10: Summing Up, Project Submission and Clearing the doubts
Class 1: Revision of the basic concepts and installation of external packages
Class 2: Classes and Exceptions in Python
Class 3: Reading and writing csv, JSON and XML files
Class 4: Reading and writing xlsx, docx, odt, LaTeX and PDF files
Class 5: Working with Pandas – 1
Class 6: Working with Pandas – 2
Class 7: Working with Pandas – 3
Class 8: Plotting the datasets with Matplotlib and Seaborn - 1
Class 9: Plotting the datasets with Matplotlib and Seaborn - 2
Class 10: Developing Web Applications with Flask - 1
Class 11: Developing Web Applications with Flask - 2
Class 12: Summing Up, Project Submission and Clearing the doubts
Class 1: Revision of the basic concepts and installation of different packages
Class 2: Working with Gensim - 1
Class 3: Working with Gensim - 2
Class 4: Working with scikit-learn - 1
Class 5: Working with scikit-learn - 2
Class 6: Working with scikit-learn - 3
Class 7: Working with NumPy - 1
Class 8: Working with NumPy - 2
Class 9: Working with Matpoltlib
Class 10: Working with PyTorch - 1
Class 11: Working with PyTorch - 2
Class 12: Working with PyTorch - 3
Class 13: Working with HuggingFace Transformers - 1
Class 14: Working with HuggingFace Transformers - 2
Class 15: Summing Up, Project Submission and Clearing the doubts