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Python Tutorial for Beginners
Chapter 1:- Installing Python framework and Pycharm IDE.
Chapter 2:- Creating and Running your first Python project.
Chapter 3:- Python is case-sensitive
Chapter 4:- Variables, data types, inferrence & type()
Chapter 5:- Python is a dynamic language
Chapter 6:- Comments in python
Chapter 7:- Creating function, whitespaces & indentation
Chapter 8:- Importance of new line
Chapter 9:- List in python, Index, Range & Negative Indexing
Chapter 10:- For loops and IF conditions
Chapter 11:- PEP, PEP 8, Python enhancement proposal
Chapter 12:- ELSE and ELSE IF
Chapter 13:- Array vs Python
Chapter 14:- Reading text files in Python
Chapter 15:- Casting and Loss of Data
Chapter 16:- Referencing external libararies
Chapter 17:- Applying linear regression using sklearn
Chapter 18:- Creatiing classes and objects.
Chapter 19:- What is Machine learning?
Chapter 20:- Algoritham and Training data.
Chapter 21:- Vectors.
Chapter 22:- Models in Machine Learning.
Chapter 23:- Features and Labels.
Chapter 24:- Bag of words.
Chapter 25:- Implementing BOW using SKLearn.
Chapter 26:- The fit Method.
Chapter 27:- StopWords.
Chapter 28:- The transform Method.
Chapter 29:- Zip and Unzip.
Chapter 30:- Project Article Auto tagging.