Lecture on "Python in Machine Learning-1"

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• Mr B Shabrinath started the lecture by giving the students a general idea of what object-oriented programming is and a general idea about the python language.
• He explained the different ways of executing a python code. Eg: cmd line, Jupyter Notepad, Spyder, Pycharm & Google Collab
• He then explained the difference between int/ float and how variable declaration is unnecessary in Python and how to be careful using it.
• He showed us how to use different inbuilt functions like type(), print(), etc
• He introduced us to the concept of indentation and how it’s different from languages like C/C++
• He explained different concepts in Pythonlike:
• Control Statements(If/Else, For, While)
• Break and Continue in control statements
• Operators in Python
• Lists & Nested Lists 
• Functions 
• Dictionaries
• He explained how to use modules and how to import different Packages in Python
• At last, he gave a recap of all the concepts he covered in the lecture so far and what to expect in the next lecture and ended the session.

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This lecture was aimed at introducing students to the Python programming language and the incredible opportunities it has in the field of Machine Learning while helping them feel comfortable while coding it.

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About 40 people attended the webinar and it helped participants understand the importance of Python in a field like Machine Learning and how easy it is to master it. This was a very interactive session and doubts were highly encouraged.

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SS2		72.29 KiB
SS3		95.97 KiB
SS4		55.72 KiB
SS5		52.94 KiB

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