Basics of Python and Intro to Machine Learning

1. Basics of Python and Intro to Machine
Learning (AI)
~Manish Maharjan
Supported By:
DN:AI Developers Nepal

2. Python vs C

3. Python Vs C

4. Basic Data/Variable Types
Numbers Eg : a=1
String Eg: name=”manish”
List Eg: a=[1,2,3,10]
Tuple Eg : a = (1,2,3,10)
Dictionary Eg : tinydict = {'name':
'john','code':6734, 'dept': 'sales'}

5. Features of Python
No semi-colon (;)
No curly braces { }
Hashtag is used for commenting #comments
No need to define datatypes
Eg : a = “name” , a=10 ,a = [1,2,3,7]

6. Where is Python used?
Web Development (Django,Flask Framework)
Data Science (BigData, Data Visualizaton)
Web/Data Scraping
Machine Learning (AI) in TensorFlow , Keras

7. Intro to Machine Learning(AI)

8. AI vs ML vs DL

9. Building Blocks of AI

11. Lets code!
More resources:
github.com/patanitclub
github.com/aidevnepal