Machine-Learning-Tutorial

Week 1

1. Python

   • Basic data types
     • Numbers
     • String
     • List
   • Conditional Statements
     • If and elif
   • Loops
     • for
     • while
   • Functions
   • Modules
     • import this

   Resource

   • Lecture 1-12 of https://www.youtube.com/playlist?list=PL4cUxeGkcC9idu6GZ8EU_5B6WpKTdYZbK
   • Or 3-4.3 of https://docs.python.org/3/tutorial/

2. Git

   • git clone
   • git init status add commit push
   • git pull

   Resource

   • https://www.youtube.com/playlist?list=PL4cUxeGkcC9goXbgTDQ0n_4TBzOO0ocPR

3. Pip

   • install packages/modules

   Resource

   • https://www.youtube.com/watch?v=U2ZN104hIcc

4. Virtual environment

   • Why is it necessary ?

   Resource

   • https://www.youtube.com/watch?v=N5vscPTWKOk

5. IPython/Jupyter Notebook

   Resource

   • https://www.youtube.com/watch?v=HW29067qVWk

6. Numpy

   Resource

   • https://docs.scipy.org/doc/numpy/user/quickstart.html

   • http://cs231n.github.io/python-numpy-tutorial/

Task

Will be updated later